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## - Publications list -

(* = joint authorship)- Conradi C*,
**Feliu E***, Mincheva M*, Wiuf C* (2016) Identifying parameter regions for multistationarity.*Submitted*[Arxiv]*Abstract.*Mathematical modeling has become an established tool for studying biological dynamics. Current applications range from building models that reproduce quantitative data to identifying models with predefined qualitative features, such as switching behavior, bistability or oscillations. Mathematically, the latter question amounts to identifying parameter values associated with a given qualitative feature. We introduce an algorithm to partition the parameter space of a parameterized system of ordinary differential equations into regions for which the system has a unique or multiple equilibria. The algorithm is based on a simple idea, the computation of the Brouwer degree, and creates a multivariate polynomial with parameter depending coefficients. Using algebraic techniques, the signs of the coefficients reveal parameter regions with and without multistationarity. We demonstrate the algorithm on models of gene transcription and cell signaling, and argue that the parameter constraints defining each region have biological meaningful interpretations. Hide - Marcondes de Freitas M, Wiuf C,
**Feliu E**(2017) Intermediates and Generic Convergence to Equilibria.*Bulletin of Mathematical Biology.*First online 15 June 2017. DOI: 10.1007/s11538-017-0303-4 [Arxiv] [Journal]*Abstract.*Known graphical conditions for the generic or global convergence to equilibria of the dynamical system arising from a reaction network are shown to be invariant under the so-called successive removal of intermediates, a systematic procedure to simplify the network, making the graphical conditions easier to check. Hide - Marcondes de Freitas M,
**Feliu E**, Wiuf C (2017) Intermediates, Catalysts, Persistence, and Boundary Steady States.*Journal of Mathematical Biology.*74:4, pp. 887–932. [Arxiv] [Journal]*Abstract.*For dynamical systems arising from chemical reaction networks, persistence is the property that each species concentration remains positively bounded away from zero, as long as species concentrations were all positive in the beginning. We describe two graphical procedures for simplifying reaction networks without breaking known necessary or sufficient conditions for persistence, by iteratively removing so-called intermediates and catalysts from the network. The procedures are easy to apply and, in many cases, lead to highly simplified network structures, such as monomolecular networks. For specific classes of reaction networks, we show that these conditions are equivalent to one another and, thus, necessary and sufficient for persistence. Furthermore, they can also be characterized by easily checkable strong connectivity properties of the underlying graph. In particular, this is the case for (conservative) monomolecular networks, as well as cascades of a large class of post-translational modification systems (of which the MAPK cascade and the n-site futile cycle are prominent examples). Since the aforementioned sufficient conditions for persistence preclude the existence of boundary steady states, our method also provides a graphical tool to check for that. Hide - Sáez M, Wiuf C,
**Feliu E**(2017) Graphical reduction of reaction networks by linear elimination of species.*Journal of Mathematical Biology.*74:1, pp. 195-237. [Arxiv] [Journal]*Abstract.*We give a graphically based procedure to reduce a reaction network to a smaller reaction network with fewer species after linear elimination of a set of noninteracting species. We give a description of the reduced reaction network, its kinetics and conservations laws, and explore properties of the network and its kinetics. We conclude by comparing our approach to an older similar approach by Temkin and co-workers. Finally, we apply the procedure to biological examples such as substrate mechanisms, post-translational modification systems and networks with intermediates (transient) steps. Hide - Song F, Sáez M, Wiuf C,
**Feliu E***, Soyer OS* (2016) Core signalling motif displaying multistability through multi-state enzymes.*Journal of the Royal Society Interface*, 13:121. DOI: 10.1098/rsif.2016.0524. [Journal]*Abstract.*Bistability, and more generally multistability, is a key system dynamics feature enabling decision-making and memory in cells. Deciphering the molecular determinants of multistability is thus crucial for a better understanding of cellular pathways and their (re)engineering in synthetic biology. Here, we show that a key motif found predominantly in eukaryotic signalling systems, namely a futile signalling cycle, can display bistability when featuring a two-state kinase. We provide necessary and sufficient mathematical conditions on the kinetic parameters of this motif that guarantee the existence of multiple steady states. These conditions foster the intuition that bistability arises as a consequence of competition between the two states of the kinase. Extending from this result, we find that increasing the number of kinase states linearly translates into an increase in the number of steady states in the system. These findings reveal, to our knowledge, a new mechanism for the generation of bistability and multistability in cellular signalling systems. Further the futile cycle featuring a two-state kinase is among the smallest bistable signalling motifs. We show that multi-state kinases and the described competition-based motif are part of several natural signalling systems and thereby could enable them to implement complex information processing through multistability. These results indicate that multi-state kinases in signalling systems are readily exploited by natural evolution and could equally be used by synthetic approaches for the generation of multistable information processing systems at the cellular level. Hide **Feliu E**(2016) Sobre las soluciones positivas de sistemas de polinomios parametrizados en biología. (in spanish).*La Gaceta de la Real Sociedad Matemática Española*[Journal]*Abstract.*La evolución en el tiempo de las concentraciones de las especies químicas en una red de reacciones se modela comúnmente con un sistema de ecuaciones diferenciales polinomiales, bajo la denominada \emph{ley de acción de masas}. Dichos sistemas dependen de numerosos parámetros cuyo valor es habitualmente desconocido. Los puntos de equilibrio relevantes del sistema son, así pues, las soluciones positivas de un sistema de polinomios que depende de parámetros desconocidos. Preguntas sobre el número de puntos de equilibrio positivos en función del valor de los parámetros han despertado gran interés en el análisis de redes de reacciones químicas. En este artículo introducimos el lector al formalismo matemático de la teoría de redes de reacciones y detallamos las preguntas relevantes que conciernen al número de puntos de equilibrio. Seguidamente damos algunos resultados recientes que responden parcialmente tales preguntas. El énfasis del artículo reside en presentar la estructura del sistema de polinomios bajo estudio, en resaltar las ventajas derivadas de su forma y en discutir las dificultades que nos encontramos al intentar responder las referidas preguntas. Hide- Müller S*,
**Feliu E***, Regensburger G*, Conradi C, Shiu A, Dickenstein A (2016) Sign conditions for injectivity of generalized polynomial maps with applications to chemical reaction networks and real algebraic geometry.*Foundations of Computational Mathematics.*16:1, pp. 69-97. doi:10.1007/s10208-014-9239-3. [Arxiv] [Journal]*Abstract.*We give necessary and sufficient conditions in terms of sign vectors for the injectivity of families of polynomials maps with arbitrary real exponents defined on the positive orthant. Our work relates and extends existing injectivity conditions expressed in terms of Jacobian matrices and determinants. In the context of chemical reaction networks with power-law kinetics, our results can be used to preclude as well as to guarantee multiple positive steady states. In the context of real algebraic geometry, our results reveal the first partial multivariate generalization of the classical Descartes' rule, which bounds the number of positive real roots of a univariate real polynomial in terms of the number of sign variations of its coefficients. Hide - Kothamanchu VB*,
**Feliu E***, Cardelli L, Soyer OS (2015) Unlimited multistability and Boolean logic in microbial signaling.*Journal of the Royal Society Interface*. DOI: 10.1098/rsif.2015.0234. [Journal]*Abstract.*The ability to map environmental signals onto distinct internal physiological states or programs is critical for single-celled microbes. A crucial systems dynamics feature underpinning such ability is multistability. While unlimited multistability is known to arise from multi-site phosphorylation seen in the signaling networks of eukaryotic cells, a similarly universal mechanism has not been identified in microbial signaling systems. These systems are generally known as two-component systems comprising of histidine kinase receptors and response regulator proteins engaging in phosphotransfer reactions. We develop a mathematical framework for analyzing microbial systems with multi-domain histidine kinase receptors We further prove that sharing of downstream components allows a system with n multi-domain hybrid histidine kinases to attain 3n steady states. We find that such systems, when sensing distinct signals can readily implement Boolean logic functions on these signals. Microbial cells are thus theoretically unbounded in mapping distinct environmental signals onto distinct physiological states and perform complex computations on them. These findings facilitate the understanding of natural two-component systems and allow their engineering through synthetic biology. Hide **Feliu E**, Wiuf C (2015) Finding the positive feedback loops underlying multi-stationarity.*BMC Systems Biology*, 9:22. doi:10.1186/s12918-015-0164-0. [Journal]*Abstract.*Bistability is ubiquitous in biological systems. For example, bistability is found in many reaction networks that involve the control and execution of important biological functions, such as signalling processes. Positive feedback loops, composed of species and reactions, are necessary for bistability, and generally for multi-stationarity, to occur. These loops are therefore often used to illustrate and pinpoint the parts of a multi-stationary network that are relevant (`responsible') for the observed multi-stationarity. However positive feedback loops are generally abundant in reaction networks but not all of them are important for subsequent interpretation of the network's dynamics. We present an automated procedure to determine the relevant positive feedback loops of a multi-stationary reaction network. The procedure only reports the loops that are relevant for multi-stationarity (that is, when broken multi-stationarity disappears) and not all positive feedback loops of the network. We show that the relevant positive feedback loops must be understood in the context of the network (one loop might be relevant for one network, but cannot create multi-stationarity in another). Finally, we demonstrate the procedure by applying it to several examples of signaling processes, including a ubiquitination and an apoptosis network, and to models extracted from the Biomodels database. We have developed and implemented an automated procedure to find relevant positive feedback loops in reaction networks. The results of the procedure are useful for interpretation and summary of the network's dynamics. Hide- Jovanovic G, Sheng X, Ale A,
**Feliu E**, Harrington HA, Kirk P, Wiuf C, Buck M, Stumpf MPH (2015) Phosphorelay of non-orthodox two component systems functions through a bi-molecular mechanism in vivo: the case of ArcB.*Molecular Biosystems.*DOI: 10.1039/C4MB00720D. [Journal]*Abstract.*Two-component systems play a central part in bacterial signal transduction. Phosphorelay mechanisms have been linked to more robust and ultra-sensitive signalling dynamics. The molecular machinery that facilitates such a signalling is, however, only understood in outline. In particular the functional relevance of the dimerization of a non-orthodox or hybrid histidine kinase along which the phosphorelay takes place has been a subject of debate. We use a combination of molecular and genetic approaches, coupled to mathematical and statistical modelling, to demonstrate that the different possible intra- and inter-molecular mechanisms of phosphotransfer are formally non-identifiable in Escherichia coli expressing the ArcB non-orthodox histidine kinase used in anoxic redox control. In order to resolve this issue we further analyse the mathematical model in order to identify discriminatory experiments, which are then performed to address cis- and trans-phosphorelay mechanisms. The results suggest that exclusive cis- and trans-mechanisms will not be operating, instead the functional phosphorelay is likely to build around a sequence of allosteric interactions among the domain pairs in the histidine kinase. This is the first detailed mechanistic analysis of the molecular processes involved in non-orthodox two-component signalling and our results suggest strongly that dimerization facilitates more discriminatory proof-reading of external signals, via these allosteric reactions, prior to them being further processed. Hide **Feliu E**(2015) Injectivity, multiple zeros, and multistationarity in reaction networks.*Proceedings of the Royal Society A*, 471:2173. DOI: 10.1098/rspa.2014.0530. [Arxiv] [Journal]*Abstract.*Polynomial dynamical systems are widely used to model and study real phenomena. In biochemistry, they are the preferred choice for modelling the concentration of chemical species in reaction networks with mass-action kinetics. These systems are typically parameterised by many (unknown) parameters. A goal is to understand how properties of the dynamical systems depend on the parameters. Qualitative properties relating to the behaviour of a dynamical system are locally inferred from the system at steady state. Here we focus on steady states that are the positive solutions to a parameterised system of generalised polynomial equations. In recent years, methods from computational algebra have been developed to understand these solutions, but our knowledge is limited: for example, we cannot efficiently decide how many positive solutions the system has as a function of the parameters. Even deciding whether there is one or more solutions is non-trivial. We present a new method, based on so-called injectivity, to preclude or assert that multiple positive solutions exist. The results apply to generalised polynomials and variables can be restricted to the linear, parameter-independent first integrals of the dynamical system. The method has been tested in a wide range of systems. Hide- Amin M, Kothamachu VB,
**Feliu E**, Scharf BE, Porter SL, Soyer OS (2014) Phosphate sink containing two-component signaling systems as tunable threshold devices.*PLOS Computational Biology*. DOI: 10.1371/journal.pcbi.1003890. [Journal]*Abstract.*Synthetic biology aims to design de novo biological systems and reengineer existing ones. These efforts have mostly focused on transcriptional circuits, with reengineering of signaling circuits hampered by limited understanding of their systems dynamics and experimental challenges. Bacterial two-component signaling systems offer a rich diversity of sensory systems that are built around a core phosphotransfer reaction between histidine kinases and their output response regulator proteins and thus are a good target for reengineering through synthetic biology. Here, we explore the signal- response relationship arising from a specific motif found in two-component signaling. In this motif a single histidine kinase (HK) phosphotransfers reversibly to two separate output response regulator (RR) proteins. We show that, under the experimentally observed parameters from bacteria and yeast, this motif not only allows rapid signal termination, whereby one of the RRs acts as a phosphate sink towards the other RR (i.e. the output RR) but also implements a sigmoidal signal-response relationship. We identify two mathematical conditions on system parameters that are necessary for sigmoidal signal-response relationships and define key parameters that control threshold levels and sensitivity of the signal-response curve. We confirm these findings experimentally, by in vitro reconstitution of the one HK-two RR motif found in the S. meliloti chemotaxis pathway and measuring the resulting signal-response curve. We find that the level of sigmoidality in this system can be experimentally controlled by the presence of the sink RR and also through an auxiliary protein that is shown to bind to the HK (yielding Hill coefficients of above 7). These findings show that the one HK-two RR motif allows bacteria and yeast to implement tunable switch-like signal processing and provides an ideal basis for developing threshold devices for synthetic biology applications. Hide - Kothamachu VB,
**Feliu E**, Wiuf C, Cardelli L, Soyer OS (2013) Phosphorelays provide tunable signal processing capabilities for the cell.*PLOS Computational Biology*, doi:10.1371/journal.pcbi.1003322. [Journal] [PDF]*Abstract.*Achieving a complete understanding of cellular signal transduction requires deciphering the relation between structural and biochemical features of a signaling system and the shape of the signal-response relationship it embeds. Using explicit analytical expressions and numerical simulations, we present here this relation for four-layered phosphorelays, which are signaling systems that are ubiquitous in prokaryotes and also found in lower eukaryotes and plants. We derive an analytical expression that relates the shape of the signal-response relationship in a relay to the kinetic rates of forward, reverse phosphorylation and hydrolysis reactions. This reveals a set of mathematical conditions which, when satisfied, dictate the shape of the signal-response relationship. We find that a specific topology also observed in nature can satisfy these conditions in such a way to allow plasticity among hyperbolic and sigmoidal signal-response relationships. Particularly, the shape of the signal-response relationship of this relay topology can be tuned by altering kinetic rates and total protein levels at different parts of the relay. These findings provide an important step towards predicting response dynamics of phosphorelays, and the nature of subsequent physiological responses that they mediate, solely from topological features and few composite measurements; measuring the ratio of reverse and forward phosphorylation rate constants could be sufficient to determine the shape of the signal-response relationship the relay exhibits. Furthermore, they highlight the potential ways in which selective pressures on signal processing could have played a role in the evolution of the observed structural and biochemical characteristic in phosphorelays. Hide - Wiuf C,[PDF]
**Feliu E**(2013) Power-law Kinetics and Determinant Criteria for the Preclusion of Multistationarity in Networks of Interacting Species.*SIAM Journal on Applied Dynamical Systems*, 12 pp. 1685-1721. [Journal]*Abstract.*We present determinant criteria for the preclusion of non-degenerate multiple steady states in networks of interacting species. A network is modeled as a system of ordinary differential equations in which the form of the species formation rate function is restricted by the reactions of the network and how the species influence each reaction. We characterize families of so-called power-law kinetics for which the associated species formation rate function is injective within each stoichiometric class and thus the network cannot exhibit multistationarity. The criterion for power-law kinetics is derived from the determinant of the Jacobian of the species formation rate function. Using this characterization we further derive similar determinant criteria applicable to general sets of kinetics. The criteria are conceptually simple, computationally tractable and easily implemented. Our approach embraces and extends previous work on multistationarity, such as work in relation to chemical reaction networks with dynamics defined by mass-action or non-catalytic kinetics, and also work based on graphical analysis of the interaction graph associated to the system. Further, we interpret the criteria in terms of circuits in the so-called DSR-graph. Hide **Feliu E**, Wiuf C (2013) A computational method to preclude multistationarity in networks of interacting species.*Bioinformatics*, 29 pp. 2327-2334. [Journal]*Abstract.*Modeling and analysis of complex systems are important aspects of understanding systemic behavior. In the lack of detailed knowledge about a system, we often choose modeling equations out of convenience and search the (high-dimensional) parameter space randomly to learn about model properties. Qualitative modeling sidesteps the issue of choosing specific modeling equations and frees the inference from specific properties of the equations. We consider classes of ODE models arising from interactions of species/entities, such as (bio)chemical reaction networks or ecosystems. A class is defined by imposing mild assumptions on the interaction rates. In this framework, we investigate whether there can be multiple positive steady states in some ODE models in a given class. We have developed and implemented a method to decide whether any ODE model in a given class cannot have multiple steady states. The method runs efficiently on models of moderate size. We tested the method on a large set of models for gene silencing by sRNA interference and on two publicly available databases of biological models, KEGG and Biomodels. We recommend that this method is used as (a) a pre-screening step for selecting an appropriate model and (b) for investigating the robustness of non-existence of multiple steady state for a given ODE model with respect to variation in interaction rates.Hide**Feliu E**, Wiuf C (2013) Simplifying Biochemical Models With Intermediate Species.*Journal of the Royal Society Interface*, 10:20130484. [Journal] [arXiv]*Abstract.*Mathematical models are increasingly being used to understand complex biochemical systems, to analyze experimental data and make predictions about unobserved quantities. However, we rarely know how robust our conclusions are with respect to the choice and uncertainties of the model. Using algebraic techniques we study systematically the effects of intermediate, or transient, species in biochemical systems and provide a simple, yet rigorous mathematical classification of all models obtained from a core model by including intermediates. Main examples include enzymatic and post-translational modification systems, where intermediates often are considered insignificant and neglected in a model, or they are not included because we are unaware of their existence. All possible models obtained from the core model are classified into a finite number of classes. Each class is defined by a mathematically simple canonical model that characterizes crucial dynamical properties, such as mono- and multistationarity and stability of steady states, of all models in the class. We show that if the core model does not have conservation laws, then the introduction of intermediates does not change the steady-state concentrations of the species in the core model, after suitable matching of parameters. Importantly, our results provide guidelines to the modeler in choosing between models and in distinguishing their properties. Further, our work provides a formal way of comparing models that share a common skeleton.Hide- Planas-Iglesias J, Bonet J, García-García J, Marín-López MA,
**Feliu E**, Oliva B (2013) Understanding protein-protein interactions using local structural features.*Journal of Molecular Biology*, 425 pp. 1210-1224. [Journal]*Abstract.*Protein-protein interactions play a relevant role among the different functions of a cell. Identifying the protein-protein interaction network of a given organism (interactome) is useful to shed light on the key molecular mechanisms within a biological system. In this work, we show the role of structural features (loops and domains) to comprehend the molecular mechanisms of protein-protein interactions. A paradox in protein-protein binding is to explain how the unbound proteins of a binary complex recognize each other among a large population within a cell and how they find their best docking interface in a short time-scale. We use interacting and non-interacting protein pairs to classify the structural features that sustain the binding (or non-binding) behaviour. Our study indicates that not only the interacting region but also the rest of the protein surface is important for the interaction fate. The interpretation of this classification suggests that the balance between favouring and disfavouring structural features determines if a pair of proteins interacts or not. Our results are in agreement with previous works and support the funnel-like intermolecular energy landscape theory that explains protein-protein interactions. We have used these features to score the likelihood of the interaction between two proteins and to develop a method for the prediction of PPIs. We have tested our method on several sets with unbalanced ratios of interactions and non-interactions to simulate real conditions, obtaining accuracies higher than 25% in the most unfavourable circumstances. Hide - Harrington H*,
**Feliu E***, Wiuf C, Stumpf MPH (2013) Cellular compartments cause multistability in biochemical reaction networks and allow cells to process more information.*Biophysical Journal*, 104:8 pp 1824-1831. [Journal] [arXiv]*Abstract.*Many biological, physical, and social interactions have a particular dependence on where they take place. In living cells, protein movement between the nucleus and cytoplasm affects cellular response (i.e., proteins must be present in the nucleus to regulate their target genes). Here we use recent developments from dynamical systems and chemical reaction network theory to identify and characterize the key-role of the spatial organization of eukaryotic cells in cellular information processing. In particular the existence of distinct compartments plays a pivotal role in whether a system is capable of multistationarity (multiple response states), and is thus directly linked to the amount of information that the signaling molecules can represent in the nucleus. Multistationarity provides a mechanism for switching between different response states in cell signaling systems and enables multiple outcomes for cellular-decision making. We combine different mathematical techniques to provide a heuristic procedure to determine if a system has the capacity for multiple steady states and to find conditions that ensure that multiple steady states cannot occur. Notably, we find that introducing species localization can alter the capacity for multistationarity and mathematically demonstrate that shuttling confers flexibility for and greater control of the emergence of an all-or-none response. Hide **Feliu E**, Wiuf C (2013) Variable elimination in post-translational modification reaction networks with mass-action kinetics.*Journal of Mathematical Biology*, 66:1 pp 281-310. [Journal] [arXiv]*Abstract.*We define a subclass of Chemical Reaction Networks called Post-Translational Modification (PTM) systems. Important biological examples of such systems include MAPK cascades and two-component systems which are well-studied experimentally as well as theoretically. The steady states of such as system are solutions to a system of polynomial equations with as many variables as equations. Even for small systems this task is daunting. We develop a mathematical framework based on the notion of acut , which provides a procedure to reduce the number of variables in the system. We show that a cut corresponds to a connected component in the species graph and is a conservation law. Further, we provide a criterion for when all conservation laws can be derived from cuts. Hide**Feliu E**, Wiuf C (2012) Preclusion of switch behavior in reaction networks with mass-action kinetics.*Applied Mathematics and Computation*. 219:4, pp 1449-67. [Journal] [arXiv]*Abstract.*In this work we extend the characterization of injectivity via the Jacobian criterion first developed by Craciun and Feinberg for chemical reaction networks with outflow reactions to arbitrary chemical reaction networks taken with mass action kinetics. Injective chemical reaction networks do not have the capacity to admit multiple positive steady states for any rate constants and within each stoichiometric class. It is shown that a network is injective if and only if the determinant of the Jacobian of the system of ordinary differential equations associated to the network never vanishes. The determinant is a polynomial on the species concentrations and the rate constants, and its coefficients are fully determined. Previous works apply to chemical reaction networks whose stoichiometric space has maximal dimension. Here we present a direct route, independent of the dimension of the stoichiometric space which precludes at the same time the existence of degenerate steady states. Hide**Feliu E**, Wiuf C (2012) Variable elimination in chemical reaction networks with mass action kinetics.*SIAM Journal on Applied Mathematics*. 72:4 pp 959–981. [Journal] [arXiv]*Abstract.*We consider chemical reaction networks taken with mass action kinetics. The steady states of such a system are solutions to a system of polynomial equations. Even for small systems the task of finding the solutions is daunting. We develop an algebraic framework and procedure for linear elimination of variables. The procedure reduces the variables in the system to a set of "core" variables by eliminating variables corresponding to a set of non-interacting species. The steady states are parameterized algebraically by the core variables, and a graphical condition is given for when a steady state with positive core variables necessarily have all variables positive. Further, we characterize graphically the sets of eliminated variables that are constrained by a conservation law and show that this conservation law takes a specific form. Hide**Feliu E**, Wiuf C (2012) Enzyme sharing as a cause of multistationarity in signaling systems.*Journal of the Royal Society Interface*, 9:71 pp 1224-32. [Journal] [arXiv]*Abstract.*Multistationarity in biological systems is a mechanism of cellular decision making. In particular, signaling pathways regulated by protein phosphorylation display features that facilitate a variety of responses to different biological inputs. The features that lead to multistationarity are of particular interest to determine as well as the stability properties of the steady states. In this paper we determine conditions for the emergence of multistationarity in small motifs without feedback that repeatedly occur in signaling pathways. We derive an explicit mathematical relationship between the concentration of a chemical species at steady state and a conserved quantity of the system such as the total amount of substrate available. We show that the function determines the number of steady states and provides a necessary condition for a steady state to be stable, that is, to be biologically attainable. Further, we identify characteristics of the motifs that lead to multistationarity, and extend the view that multistationarity in signaling pathways arises from multisite phosphorylation. Our approach relies on mass-action kinetics and the conclusions are drawn in full generality without resorting to simulations or random generation of parameters. The approach is extensible to other systems. Hide- Knudsen M,
**Feliu E**, Wiuf C (2012) Exact Analysis of Intrinsic Qualitative Features of Phosphorelays using Mathematical Models.*Journal of Theoretical Biology*, 300 pp 7-18. [Journal] [arXiv]*Abstract.*Phosphorelays are a class of signaling mechanisms used by cells to respond to changes in their environment. Phosphorelays (of which two-component systems constitute a special case) are particularly abundant in prokaryotes and have been shown to be involved in many fundamental processes such as stress response, osmotic regulation, virulence, and chemotaxis. We develop a general model of phosphorelays extending existing models of phosphorelays and two-component systems. We analyze the model analytically under the assumption of mass-action kinetics and prove that a phosphorelay has a unique stable steady-state. Furthermore, we derive explicit functions relating stimulus to the response in any layer of a phosphorelay and show that a limited degree of ultrasensitivity (the ability to respond to changes in stimulus in a switch-like manner) in the bottom layer of a phosphorelay is an intrinsic feature which does not depend on any reaction rates or substrate amounts. On the other hand, we show how adjusting reaction rates and substrate amounts may lead to higher degrees of ultrasensitivity in intermediate layers. The explicit formulas also enable us to prove how the response changes with alterations in stimulus, kinetic parameters, and substrate amounts. Aside from providing biological insight, the formulas may also be used to avoid time-consuming simulations in numerical analyses and simulations. Hide **Feliu E**, Knudsen M, Wiuf C (2012) Signaling cascades: consequences of varying substrate and phosphatase levels.*Advances in Systems Biology*in*Advances in Experimental Medical Biology*series. Vol 736, Part 1, pp 81-94. Eds. II Goryanin, AB Goryachev. Springer. [Journal]*Abstract.*We study signaling cascades with an arbitrary number of layers of one-site phosphorylation cycles. Such cascades are abundant in nature and integrated parts of many pathways. Based on the Michaelis-Menten model of enzyme kinetics and the law of mass-action, we derive explicit analytic expressions for how the steady state concentrations and the total amounts of substrates, kinase and phosphatates depend on each other. In particular, we use these to study how the responses (the activated substrates) vary as a function of the available amounts of substrates, kinase and phosphatases. Our results provide insight into how crosstalk and external regulation of cascades effect the cascade response. Hide**Feliu E**, Knudsen M, Andersen LN, Wiuf C (2012) An Algebraic Approach to Signaling Cascades with n Layers.*Bulletin of Mathematical Biology*, 74:1, pp 45-72. [Journal][arXiv]*Abstract.*Posttranslational modification of proteins is key in transmission of signals in cells. Many signaling pathways contain several layers of modification cycles that mediate and change the signal through the pathway. Here, we study a simple signaling cascade consisting of n layers of modification cycles, such that the modified protein of one layer acts as modifier in the next layer. Assuming mass-action kinetics and taking the formation of intermediate complexes into account, we show that the steady states are solutions to a polynomial in one variable, and in fact that there is exactly one steady state for any given total amounts of substrates and enzymes. We demonstrate that many steady state concentrations are related through rational functions, which can be found recursively. For example, stimulus-response curves arise as inverse functions to explicit rational functions. We show that the stimulus-response curves of the modified substrates are shifted to the left as we move down the cascade. Further, our approach allows us to study enzyme competition, sequestration and how the steady state changes in response to changes in the total amount of substrates. Our approach is essentially algebraic and follows recent trends in the study of posttranslational modification systems. Hide**Feliu E**, Aloy P, Oliva B (2011) On the analysis of protein-protein interactions via knowledge-based potentials for the prediction of protein-protein docking.*Protein Science*, 20:3, pp 529-541. [Journal]*Abstract.*Development of effective methods to screen binary interactions obtained by rigid-body protein-protein docking is key for structure prediction of complexes and for elucidating physico-chemical principles of protein-protein binding. We have derived empirical knowledge-based potential functions for selecting rigid-body docking poses. These potentials include the energetic component that provides the residues with a particular secondary structure and surface accessibility. These scoring functions have been tested on a state-of-art benchmark dataset and on a decoy dataset of permanent interactions. Our results were compared to a residue-pair potential scoring function (RPScore) and an atomic-detailed scoring function (Zrank). We have combined knowledge-based potentials to score protein-protein poses of decoys of complexes classified either as transient or as permanent protein-protein interactions. Being defined from residue-pair statistical potentials and not requiring of an atomic level description, our method surpassed Zrank for scoring rigid-docking decoys where the unbound partners of an interaction have to endure conformational changes upon binding. However, when only moderate conformational changes are required (in rigid docking) or when the right conformational changes are ensured (in flexible docking), Zrank is the most successful scoring function. Finally, our study suggests that the physico-chemical properties necessary for the binding are allocated on the proteins previous to its binding and with independence of the partner. This information is encoded at the residue level and could be easily incorporated in the initial grid scoring for Fast Fourier Transform rigid-body docking methods. Hide**Feliu E**, Oliva B (2010) How different from random are docking predictions when ranked by scoring functions?*Proteins*, 78:16, pp 3376-85. [Journal]*Abstract.*Docking algorithms predict the structure of protein–protein interactions. They sample the orientation of two unbound proteins to produce various predictions about their interactions, followed by a scoring step to rank the predictions. We present a statistical assessment of scoring functions used to rank near-native orientations, applying our statistical analysis to a benchmark dataset of decoys of protein–protein complexes and assessing the statistical significance of the outcome in the CAPRI scoring experiment. A P-value was assigned that depended on the number of near-native structures in the sampling. We studied the effect of filtering out redundant structures and tested the use of pair-potentials derived using ZDock and ZRank. Our results show that for many targets, it is not possible to determine when a successful re-ranking performed by scoring functions results merely from random choice. This analysis reveals that changes should be made in the design of the CAPRI scoring experiment. We propose including the statistical assessment in this experiment either at the preprocessing or the evaluation step. Hide- Burgos Gil JI,
**Feliu E**(2012) Higher arithmetic Chow groups.*Commentarii Mathematici Helvetici*, 87:3 pp 521-587. [Journal] [arXiv]*Abstract.*We give a new construction of*higher arithmetic Chow groups*suitable for quasi-projective arithmetic varieties over a field. Our definition agrees with the higher arithmetic Chow groups defined by Goncharov for projective arithmetic varieties over a field. These groups are the analog, in the Arakelov context, of the higher algebraic Chow groups defined by Bloch. The degree zero group agrees with the arithmetic Chow group of Burgos. Our new construction is shown to be functorial and is endowed with a product structure, which is commutative and associative. Hide **Feliu E**(2011) On uniqueness of characteristic classes.*Journal of Pure and Applied Algebra*, 215:6, pp 1223-42. [Journal] [arXiv]*Abstract.*We give an axiomatic characterization of maps from algebraic K-theory. The results apply to a class of maps from algebraic K-theory to any suitable cohomology theory or to algebraic K-theory, which includes all group morphisms. In particular, we obtain comparison theorems for the Chern character and Chern classes and for the Lambda and Adams operations on higher algebraic K-theory. We show that the Adams operations defined by Grayson agree with the ones defined by Gillet and Soule. Hide- Burgos Gil JI,
**Feliu E**, Takeda Y (2011) On Goncharov's regulator and higher arithmetic Chow groups.*International Mathematics Research Notices*, 2011:1, pp 40-73. [Journal][arXiv]*Abstract.*In this paper we show that the regulator defined by Goncharov from higher algebraic Chow groups to Deligne-Beilinson cohomology agrees with Beilinson's regulator. We give a direct comparison of Goncharov's regulator to the construction given by Burgos and Feliu. As a consequence, we show that the higher arithmetic Chow groups defined by Goncharov agree, for all projective arithmetic varieties over an arithmetic field, with the ones defined by Burgos and Feliu. Hide **Feliu E**(2010) A chain morphism for Adams operations on rational algebraic K-theory.*Journal of K-theory: K-theory and its Applications to Algebra, Geometry, and Topology,*5:2, pp 349-402. [Journal][arXiv]*Abstract.*For any regular noetherian scheme X and every k>0, we define a chain morphism between two chain complexes whose homology with rational coefficients is isomorphic to the algebraic K-groups of X tensored by Q. These morphisms induce in homology the Adams operations defined by Gillet and Soulé or the ones defined by Grayson.Hide**Feliu E**(2010) Adams operations on higher arithmetic K-theory.*Publications of the Research Institute for Mathematical Sciences*, 46:1, pp. 115-169. [Journal][arXiv]*Abstract.*We construct Adams operations on the rational higher arithmetic K-groups of a proper arithmetic variety. The deﬁnition applies to the higher arithmetic K-groups given by Takeda as well as to the groups suggested by Deligne and Soulé, by means of the homotopy groups of the homotopy ﬁber of the regulator map. They are compatible with the Adams operations on algebraic K-theory. The deﬁnition relies on the chain morphism representing Adams operations in higher algebraic K-theory given previously by the author. In this paper it is shown that this chain morphism commutes strictly with the representative of the Beilinson regulator given by Burgos and Wang.Hide- Planas-Iglesias J, Bonet J, Marín-López MA,
**Feliu E**, Gursoy A, Oliva B (2012) Structural Bioinformatics of Proteins: predicting the tertiary and quaternary structure of proteins from sequence. Chapter 10 in*Protein-Protein Interactions, Computational and Experimental Tools*, Intech. Edited by Weibo Cai. [Online access] **Feliu E**(2004) Function theory of higher logarithms. Arbeitsgemeinschaft mit Aktuellem Thema: Polylogarithms.*Oberwolfach Report*, 1:4, pp 2543-45. [Journal]**On higher arithmetic intersection theory,**2007.

#### Peer-Reviewed Publications

##### Mathematical Biology/Bioinformatics

##### Pure Math (authors in alphabetical order)

#### Book chapters

#### Other scientific contributions

#### PhD Thesis

Advisor: José Ignacio Burgos Gil.[Fulltext][Introduction]

With a qualification of Excellent Cum Laude, with European mention.

Awarded with the **Josep Teixidor Prize** from the *Institut d'Estudis Catalans*, Sant Jordi Awards, 2010.