Defining the limits of homology modeling in information‐driven protein docking-Reference-Cited by-同舟云学术

Defining the limits of homology modeling in information‐driven protein docking

Published:2013-10-17 Issue:12 Volume:81 Page:2119-2128
ISSN:0887-3585
Container-title:Proteins: Structure, Function, and Bioinformatics
language:en
Short-container-title:Proteins

Author:

Rodrigues J. P. G. L. M.¹,Melquiond A. S. J.¹,Karaca E.¹,Trellet M.¹²,Dijk M.¹,Zundert G. C. P.¹,Schmitz C.¹,Vries S. J.¹³,Bordogna A.⁴,Bonati L.⁴,Kastritis P. L.¹,Bonvin Alexandre M. J. J.¹

Affiliation:

1. Faculty of Science/Chemistry, Bijvoet Center for Biomolecular ResearchUtrecht UniversityUtrecht3584CH The Netherlands

2. Groupe VENISE, CNRS LIMSI91403 OrsayCEDEX France

3. Physik‐Department (T38)Technische Universität MünchenJames‐Franck‐Str. 185748Garching Germany

4. Department of Earth and Environmental SciencesUniversity of Milano‐BicoccaMilan Italy

Funder

VICI, Dutch Foundation for Scientific Research

Utrecht University

European FP7 e-Infrastructure project WeNMR

Publisher

Wiley

Subject

Molecular Biology,Biochemistry,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/prot.24382

Reference45 articles.

1. The Cell as a Collection of Protein Machines: Preparing the Next Generation of Molecular Biologists

2. Evolution and dynamics of protein interactions and networks

3. An in Vivo Map of the Yeast Protein Interactome

4. Next challenges in protein-protein docking: from proteome to interactome and beyond

5. Templates are available to model nearly all complexes of structurally characterized proteins

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