Imperial College London

ProfessorMichaelSternberg

Faculty of Natural SciencesDepartment of Life Sciences

Director, Systems Biology and Bioinformatics Centre
 
 
 
//

Contact

 

+44 (0)20 7594 5212m.sternberg Website

 
 
//

Location

 

306Sir Ernst Chain BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Singh:2020:10.1002/prot.25889,
author = {Singh, A and Dauzhenka, T and Kundrotas, PJ and Sternberg, MJE and Vakser, IA},
doi = {10.1002/prot.25889},
journal = {Proteins: Structure, Function, and Bioinformatics},
pages = {1180--1188},
title = {Application of docking methodologies to modeled proteins},
url = {http://dx.doi.org/10.1002/prot.25889},
volume = {88},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Protein docking is essential for structural characterization of protein interactions. Besides providing the structure of protein complexes, modeling of proteins and their complexes is important for understanding the fundamental principles and specific aspects of protein interactions. The accuracy of protein modeling, in general, is still less than that of the experimental approaches. Thus, it is important to investigate the applicability of docking techniques to modeled proteins. We present new comprehensive benchmark sets of protein models for the development and validation of protein docking, as well as a systematic assessment of free and templatebased docking techniques on these sets. As opposed to previous studies, the benchmark sets reflect the real case modeling/docking scenario where the accuracy of the models is assessed by the modeling procedure, without reference to the native structure (which would be unknown in practical applications). We also expanded the analysis to include docking of protein pairs where proteins have different structural accuracy. The results show that, in general, the templatebased docking is less sensitive to the structural inaccuracies of the models than the free docking. The nearnative docking poses generated by the templatebased approach, typically, also have higher ranks than those produces by the free docking (although the free docking is indispensable in modeling the multiplicity of protein interactions in a crowded cellular environment). The results show that docking techniques are applicable to protein models in a broad range of modeling accuracy. The study provides clear guidelines for practical applications of docking to protein models.
AU - Singh,A
AU - Dauzhenka,T
AU - Kundrotas,PJ
AU - Sternberg,MJE
AU - Vakser,IA
DO - 10.1002/prot.25889
EP - 1188
PY - 2020///
SN - 0887-3585
SP - 1180
TI - Application of docking methodologies to modeled proteins
T2 - Proteins: Structure, Function, and Bioinformatics
UR - http://dx.doi.org/10.1002/prot.25889
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000520757000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://onlinelibrary.wiley.com/doi/full/10.1002/prot.25889
UR - http://hdl.handle.net/10044/1/78266
VL - 88
ER -