Application of asymmetric statistical potentials to antibody-protein docking

Ryan Brenke, David R. Hall, Gwo Yu Chuang, Stephen R. Comeau, Tanggis Bohnuud, Dmitri Beglov, Ora Schueler-Furman, Sandor Vajda*, Dima Kozakov

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

141 Scopus citations

Abstract

Motivation: An effective docking algorithm for antibody-protein antigen complex prediction is an important first step toward design of biologics and vaccines. We have recently developed a new class of knowledge-based interaction potentials called Decoys as the Reference State (DARS) and incorporated DARS into the docking program PIPER based on the fast Fourier transform correlation approach. Although PIPER was the best performer in the latest rounds of the CAPRI protein docking experiment, it is much less accurate for docking antibody-protein antigen pairs than other types of complexes, in spite of incorporating sequence-based information on the location of the paratope. Analysis of antibody-protein antigen complexes has revealed an inherent asymmetry within these interfaces. Specifically phenylalanine, tryptophan and tyrosine residues highly populate the paratope of the antibody but not the epitope of the antigen. Results: Since this asymmetry cannot be adequately modeled using a symmetric pairwise potential, we have removed the usual assumption of symmetry. Interaction statistics were extracted from antibody-protein complexes under the assumption that a particular atom on the antibody is different from the same atom on the antigen protein. The use of the new potential significantly improves the performance of docking for antibody-protein antigen complexes, even without any sequence information on the location of the paratope.We note that the asymmetric potential captures the effects of the multi-body interactions inherent to the complex environment in the antibody-protein antigen interface.

Original languageAmerican English
Pages (from-to)2608-2614
Number of pages7
JournalBioinformatics
Volume28
Issue number20
DOIs
StatePublished - Oct 2012

Bibliographical note

Funding Information:
Funding: National Institute of General Medical Sciences [GM61867 to S.V. and GM93147 to D.K.], National Science Foundation [DBI 1147082 to S.V. and D.K.], and USA-Israel Binational Science Foundation [2009418 to O.F. and D.K].

Fingerprint

Dive into the research topics of 'Application of asymmetric statistical potentials to antibody-protein docking'. Together they form a unique fingerprint.

Cite this