Literature DB >> 9749916

Main-chain conformational features at different conformations of the side-chains in proteins.

P Chakrabarti1, D Pal.   

Abstract

An analysis of the known protein structures has shown that the main-chain torsion angles, phi and psi of a residue can be affected by the side-chain torsion angle, chi1. The (chi1, psi) plot of all residues (except Gly, Ala and Pro) show six distinct regions where points are concentrated-although some of these regions are nearly absent in specific cases. The mean of these clusters can show a shift along the psi axis by as much as 30 degrees as chi1 is changed from around 180 to -60 to 60 degrees. Because of the lesser steric constraint points are more diffused along the psi axis when chi1 is approximately -60 degrees. Although points are more spread out along the phi axis in the (chi1, phi) plot, the dependence of phi on chi1 shows up in a shortened phi range (by about 30 degrees) when chi1 is around -60 degrees, and a distinct tendency of clustering of points into two regions when chi1 is approximately equal to 60 degrees, especially for the aromatic residues. Based on the dependence of the backbone conformation on its side-chain the 17 amino acids can be grouped into five classes: (i) aliphatic residues branched at the Cbeta position (although Thr is atypical), (ii) Leu (branched at the Cgamma position), (iii) aromatic residues (Trp can show some deviations), (iv) short polar residues (Asp and Asn), and (v) the remaining linear-chain residues, mainly polar. Ser and Thr have the highest inclination to occur with two different orientations of the side-chain that can be located through crystallography. Such residues exhibiting two chi1 angles have their phi and psi angles in a region that is common to the Ramachandran plots at the two different chi1 angles. The dependence of phi and psi angles on chi1 can be used to understand the helical propensities of some residues. Moreover, the average phi, psi values in the alpha-helices vary with the side-chain conformation.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9749916     DOI: 10.1093/protein/11.8.631

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  8 in total

1.  Influence of the environment in the conformation of alpha-helices studied by protein database search and molecular dynamics simulations.

Authors:  Mireia Olivella; Xavier Deupi; Cedric Govaerts; Leonardo Pardo
Journal:  Biophys J       Date:  2002-06       Impact factor: 4.033

2.  SCit: web tools for protein side chain conformation analysis.

Authors:  R Gautier; A-C Camproux; P Tufféry
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

3.  Predicting 13Calpha chemical shifts for validation of protein structures.

Authors:  Jorge A Vila; Myriam E Villegas; Hector A Baldoni; Harold A Scheraga
Journal:  J Biomol NMR       Date:  2007-06-09       Impact factor: 2.835

4.  Physics-based method to validate and repair flaws in protein structures.

Authors:  Osvaldo A Martin; Yelena A Arnautova; Alejandro A Icazatti; Harold A Scheraga; Jorge A Vila
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-30       Impact factor: 11.205

5.  Fine grained sampling of residue characteristics using molecular dynamics simulation.

Authors:  Hyun Joo; Xiaotao Qu; Rosemarie Swanson; C Michael McCallum; Jerry Tsai
Journal:  Comput Biol Chem       Date:  2010-06-19       Impact factor: 2.877

6.  Effects of side-chain orientation on the 13C chemical shifts of antiparallel beta-sheet model peptides.

Authors:  Myriam E Villegas; Jorge A Vila; Harold A Scheraga
Journal:  J Biomol NMR       Date:  2006-12-19       Impact factor: 2.835

7.  Water-macromolecule interactions by NMR: a quadrature-free constant-time approach and its application to CI2.

Authors:  G Melacini; R Boelens; R Kaptein
Journal:  J Biomol NMR       Date:  1999-11       Impact factor: 2.835

8.  Correlated Mutation in the Evolution of Catalysis in Uracil DNA Glycosylase Superfamily.

Authors:  Bo Xia; Yinling Liu; Jose Guevara; Jing Li; Celeste Jilich; Ye Yang; Liangjiang Wang; Brian N Dominy; Weiguo Cao
Journal:  Sci Rep       Date:  2017-04-11       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.