Paper Info
Title
Prediction of site-specific interactions in antibody-antigen complexes: the proABC method and server.
Abstract
Motivation: Antibodies or immunoglobulins are proteins of paramount importance in the immune system. They are extremely relevant as diagnostic, biotechnological and therapeutic tools. Their modular structure makes it easy to re-engineer them for specific purposes. Short of undergoing a trial and error process, these experiments, as well as others, need to rely on an understanding of the specific determinants of the antibody binding mode. Results: In this article, we present a method to identify, on the basis of the antibody sequence alone, which residues of an antibody directly interact with its cognate antigen. The method, based on the random forest automatic learning techniques, reaches a recall and specificity as high as 80% and is implemented as a free and easy-to-use server, named prediction of Antibody Contacts. We believe that it can be of great help in re-design experiments as well as a guide for molecular docking experiments. The results that we obtained also allowed us to dissect which features of the antibody sequence contribute most to the involvement of specific residues in binding to the antigen.
Year
DOI
Venue
2013
10.1093/bioinformatics/btt369
BIOINFORMATICS
Field
DocType
Volume
Docking (molecular),Antibody antigen,Antigen,Computer science,Automatic learning,Bioinformatics,Random forest,Modular structure,Antigen-Antibody Complex,Antibody
Journal
29
Issue
ISSN
Citations 
18
1367-4803
9
PageRank 
References 
Authors
0.77
7
4
Name
Order
Citations
PageRank
Pier Paolo Olimpieri1101.80
Anna Chailyan2162.64
Anna Tramontano319114.13
Paolo Marcatili413510.61