Accurate Structure Prediction of CDR H3 Loops Enabled by a Novel Structure-Based C-Terminal Constraint.

J Immunol

Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD 21218

Published: January 2017

Ab structure prediction has made great strides, but accurately modeling CDR H3 loops remains elusive. Unlike the other five CDR loops, CDR H3 does not adopt canonical conformations and must be modeled de novo. During Antibody Modeling Assessment II, we found that biasing simulations toward kinked conformations enables generating low-root mean square deviation models (Weitzner et al. 2014. Proteins 82: 1611-1623), and since then, we have presented new geometric parameters defining the kink conformation (Weitzner et al. 2015. Structure 23: 302-311). In this study, we use these parameters to develop a new biasing constraint. When applied to a benchmark set of high-quality CDR H3 loops, the average minimum root mean square deviation sampled is 0.93 Å, compared with 1.34 Å without the constraint. We then test the performance of the constrained de novo method for homology modeling and rigid-body docking and present the results for 1) the Antibody Modeling Assessment II targets, 2) the 2009 RosettaAntibody benchmark set, and 3) the high-quality set.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5173470PMC
http://dx.doi.org/10.4049/jimmunol.1601137DOI Listing

Publication Analysis

Top Keywords

cdr loops
16
structure prediction
8
antibody modeling
8
modeling assessment
8
square deviation
8
benchmark set
8
set high-quality
8
cdr
5
accurate structure
4
prediction cdr
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!