Assessing protein conformational sampling methods based on bivariate lag-distributions of backbone angles.

ABSTRACT: Despite considerable progress in the past decades, protein structure prediction remains one of the major unsolved problems in computational biology. Angular-sampling-based methods have been extensively studied recently due to their ability to capture the continuous conformational space of protein structures. The literature has focused on using a variety of parametric models of the sequential dependencies between angle pairs along the protein chains. In this article, we present a thorough review of angular-sampling-based methods by assessing three main questions: What is the best distribution type to model the protein angles? What is a reasonable number of components in a mixture model that should be considered to accurately parameterize the joint distribution of the angles? and What is the

SUBMITTER: Maadooliat M 

PROVIDER: S-EPMC3888108 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature