Fatgraph models of proteins

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Fatgraph models of proteins. / Penner, R. C.; Knudsen, Michael; Wiuf, Carsten; Andersen, Jørgen Ellegaard.

In: Communications on Pure and Applied Mathematics, Vol. 63, No. 10, 01.10.2010, p. 1249-1297.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Penner, RC, Knudsen, M, Wiuf, C & Andersen, JE 2010, 'Fatgraph models of proteins', Communications on Pure and Applied Mathematics, vol. 63, no. 10, pp. 1249-1297. https://doi.org/10.1002/cpa.20340

APA

Penner, R. C., Knudsen, M., Wiuf, C., & Andersen, J. E. (2010). Fatgraph models of proteins. Communications on Pure and Applied Mathematics, 63(10), 1249-1297. https://doi.org/10.1002/cpa.20340

Vancouver

Penner RC, Knudsen M, Wiuf C, Andersen JE. Fatgraph models of proteins. Communications on Pure and Applied Mathematics. 2010 Oct 1;63(10):1249-1297. https://doi.org/10.1002/cpa.20340

Author

Penner, R. C. ; Knudsen, Michael ; Wiuf, Carsten ; Andersen, Jørgen Ellegaard. / Fatgraph models of proteins. In: Communications on Pure and Applied Mathematics. 2010 ; Vol. 63, No. 10. pp. 1249-1297.

Bibtex

@article{fd5c0538d0db48e1b3027acb5ec33563,
title = "Fatgraph models of proteins",
abstract = "We introduce a new model of proteins that extends and enhances the traditional graphical representation by associating a combinatorial object called a fatgraph to any protein based upon its intrinsic geometry. Fatgraphs can easily be stored and manipulated as triples of permutations, and these methods are therefore amenable to fast computer implementation. Applications include the refinement of structural protein classifications and the prediction of geometric and other properties of proteins from their chemical structures.",
author = "Penner, {R. C.} and Michael Knudsen and Carsten Wiuf and Andersen, {J{\o}rgen Ellegaard}",
year = "2010",
month = oct,
day = "1",
doi = "10.1002/cpa.20340",
language = "English",
volume = "63",
pages = "1249--1297",
journal = "Communications on Pure and Applied Mathematics",
issn = "0010-3640",
publisher = "JohnWiley & Sons, Inc.",
number = "10",

}

RIS

TY - JOUR

T1 - Fatgraph models of proteins

AU - Penner, R. C.

AU - Knudsen, Michael

AU - Wiuf, Carsten

AU - Andersen, Jørgen Ellegaard

PY - 2010/10/1

Y1 - 2010/10/1

N2 - We introduce a new model of proteins that extends and enhances the traditional graphical representation by associating a combinatorial object called a fatgraph to any protein based upon its intrinsic geometry. Fatgraphs can easily be stored and manipulated as triples of permutations, and these methods are therefore amenable to fast computer implementation. Applications include the refinement of structural protein classifications and the prediction of geometric and other properties of proteins from their chemical structures.

AB - We introduce a new model of proteins that extends and enhances the traditional graphical representation by associating a combinatorial object called a fatgraph to any protein based upon its intrinsic geometry. Fatgraphs can easily be stored and manipulated as triples of permutations, and these methods are therefore amenable to fast computer implementation. Applications include the refinement of structural protein classifications and the prediction of geometric and other properties of proteins from their chemical structures.

UR - http://www.scopus.com/inward/record.url?scp=77956460775&partnerID=8YFLogxK

U2 - 10.1002/cpa.20340

DO - 10.1002/cpa.20340

M3 - Journal article

AN - SCOPUS:77956460775

VL - 63

SP - 1249

EP - 1297

JO - Communications on Pure and Applied Mathematics

JF - Communications on Pure and Applied Mathematics

SN - 0010-3640

IS - 10

ER -

ID: 203899821