Literature DB >> 19054790

Comparative analysis of the packing topology of structurally important residues in helical membrane and soluble proteins.

Vagmita Pabuwal1, Zhijun Li.   

Abstract

Elucidating the distinct topology of residue packing in transmembrane proteins is essential for developing high-quality computational tools for their structure prediction. Network approaches transforming a protein's three-dimensional structure into a network have proven useful in analyzing various aspects of protein structures. Residues with high degree of connectivity as identified through network analysis are considered to be important for the stability of a protein's folded structure. It is thus of interest to study the packing topology of these structurally important residues in membrane proteins. In this work, we systematically characterized the importance and the spatial topology of these highly connected residues in helical membrane and helical soluble proteins from several aspects. A representative helical membrane protein and two helical soluble protein structure data sets were compiled and analyzed. Results of analyses indicate that the highly connected amino acid residues in membrane proteins are more scattered peripherally and more exposed to the membrane than in soluble proteins. Accordingly, they are less densely connected with each other in membrane proteins than in soluble proteins. Together with the knowledge of a centralized function site for many membrane proteins, these findings suggest a structure-function model that is distinguishable from soluble proteins.

Mesh:

Substances:

Year:  2008        PMID: 19054790     DOI: 10.1093/protein/gzn074

Source DB:  PubMed          Journal:  Protein Eng Des Sel        ISSN: 1741-0126            Impact factor:   1.650


  5 in total

1.  Structure alignment of membrane proteins: Accuracy of available tools and a consensus strategy.

Authors:  Marcus Stamm; Lucy R Forrest
Journal:  Proteins       Date:  2015-08-01

Review 2.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

3.  Predicting Designability of Small Proteins from Graph Features of Contact Maps.

Authors:  Sumudu P Leelananda; Robert L Jernigan; Andrzej Kloczkowski
Journal:  J Comput Biol       Date:  2016-05       Impact factor: 1.479

4.  Comparison of NMR and crystal structures of membrane proteins and computational refinement to improve model quality.

Authors:  Julia Koehler Leman; Andrew R D'Avino; Yash Bhatnagar; Jeffrey J Gray
Journal:  Proteins       Date:  2017-11-08

5.  GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparison.

Authors:  Fazle E Faisal; Khalique Newaz; Julie L Chaney; Jun Li; Scott J Emrich; Patricia L Clark; Tijana Milenković
Journal:  Sci Rep       Date:  2017-11-02       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.