Literature DB >> 17542001

On the structure of the inverse kinematics map of a fragment of protein backbone.

R J Milgram1, Guanfeng Liu, J C Latombe.   

Abstract

Loop closure in proteins requires computing the values of the inverse kinematics (IK) map for a backbone fragment with 2n > or = 6 torsional degrees of freedom (dofs). It occurs in a variety of contexts, e.g., structure determination from electron-density maps, loop insertion in homology-based structure prediction, backbone tweaking for protein energy minimization, and the study of protein mobility in folded states. The first part of this paper analyzes the global structure of the IK map for a fragment of protein backbone with 6 torsional dofs for a slightly idealized kinematic model, called the canonical model. This model, which assumes that every two consecutive torsional bonds C(alpha)--C and N--C(alpha) are exactly parallel, makes it possible to separately compute the inverse orientation map and the inverse position map. The singularities of both maps and their images, the critical sets, respectively, decompose SO(3) x R(3) into open regions where the number of IK solutions is constant. This decomposition leads to a constructive proof of the existence of a region in R(3) x SO(3) where the IK of the 6-dof fragment attains its theoretical maximum of 16 solutions. The second part of this paper extends this analysis to study fragments with more than 6 torsional dofs. It describes an efficient recursive algorithm to sample IK solutions for such fragments, by identifying the feasible range of each successive torsional dof. A numerical homotopy algorithm is then used to deform the IK solutions for a canonical fragment into solutions for a noncanonical fragment. Computational results for fragments ranging from 8 to 30 dofs are presented.

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Year:  2008        PMID: 17542001     DOI: 10.1002/jcc.20755

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  6 in total

1.  Protein loop closure using orientational restraints from NMR data.

Authors:  Chittaranjan Tripathy; Jianyang Zeng; Pei Zhou; Bruce Randall Donald
Journal:  Proteins       Date:  2011-12-13

2.  The effect of end constraints on protein loop kinematics.

Authors:  Steven Hayward; Akio Kitao
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

3.  Three-residue loop closure in proteins: a new kinematic method reveals a locus of connected loop conformations.

Authors:  Ali Nekouzadeh; Yoram Rudy
Journal:  J Comput Chem       Date:  2011-05-26       Impact factor: 3.376

4.  Exhaustive Conformational Sampling of Complex Fused Ring Macrocycles Using Inverse Kinematics.

Authors:  Evangelos A Coutsias; Katrina W Lexa; Michael J Wester; Sara N Pollock; Matthew P Jacobson
Journal:  J Chem Theory Comput       Date:  2016-08-04       Impact factor: 6.006

5.  Assessing protein loop flexibility by hierarchical Monte Carlo sampling.

Authors:  Jerome Nilmeier; Lan Hua; Evangelos A Coutsias; Matthew P Jacobson
Journal:  J Chem Theory Comput       Date:  2011-05-10       Impact factor: 6.006

Review 6.  Computational models of protein kinematics and dynamics: beyond simulation.

Authors:  Bryant Gipson; David Hsu; Lydia E Kavraki; Jean-Claude Latombe
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2012-04-09       Impact factor: 10.745

  6 in total

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