1. New Dynamic Rotamer Libraries: Data-Driven Analysis of Side-Chain Conformational Propensities
- Author
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Ivan Vulovic, Clare Louise Towse, Valerie Daggett, and Steven J. Rysavy
- Subjects
0301 basic medicine ,Protein Conformation ,Protein Data Bank (RCSB PDB) ,Molecular Dynamics Simulation ,Combinatorial chemistry ,Article ,Weighting ,Set (abstract data type) ,03 medical and health sciences ,Molecular dynamics ,030104 developmental biology ,Protein structure ,Isomerism ,Peptide Library ,Structural Biology ,Animals ,Humans ,Ubiquitins ,Conformational isomerism ,Protein secondary structure ,Algorithm ,Molecular Biology ,Software ,Smoothing - Abstract
SummaryMost rotamer libraries are generated from subsets of the PDB and do not fully represent the conformational scope of protein side chains. Previous attempts to rectify this sparse coverage of conformational space have involved application of weighting and smoothing functions. We resolve these limitations by using physics-based molecular dynamics simulations to determine more accurate frequencies of rotameric states. This work forms part of our Dynameomics initiative and uses a set of 807 proteins selected to represent 97% of known autonomous protein folds, thereby eliminating the bias toward common topologies found within the PDB. Our Dynameomics derived rotamer libraries encompass 4.8 × 109 rotamers, sampled from at least 51,000 occurrences of each of 93,642 residues. Here, we provide a backbone-dependent rotamer library, based on secondary structure ϕ/ψ regions, and an update to our 2011 backbone-independent library that addresses the doubling of our dataset since its original publication.
- Published
- 2016
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