Literature DB >> 11215522

Protein surface similarities: a survey of methods to describe and compare protein surfaces.

A Via1, F Ferrè, B Brannetti, M Helmer-Citterich.   

Abstract

Many methods have been developed to analyse protein sequences and structures, although less work has been undertaken describing and comparing protein surfaces. Evolution can lead sequences to diverge or structures to change topology; nevertheless, surface determinants that are essential to protein function itself may be mantained. Moreover, different molecules could converge to similar functions by gaining specific surface determinants. In such cases, sequence or structure comparisons are likely to be inadequate in describing or identifying protein functions and evolutionary relationships among proteins. Surface analysis can identify function determinants that are independent of sequence or secondary structure and can therefore be a powerful tool to highlight cases of possible convergent or divergent evolution. This kind of approach can be useful for a better understanding of protein molecular and biochemical mechanisms of catalysis or interaction with a ligand, which are usually surface dependent. Protein surface comparison, when compared to sequence or structure comparison methods, is a hard computational challenge and evaluated methods allowing the comparison of protein surfaces are difficult to find. In this review, we will survey the current knowledge about protein surface similarity and the techniques to detect it.

Mesh:

Substances:

Year:  2000        PMID: 11215522     DOI: 10.1007/PL00000677

Source DB:  PubMed          Journal:  Cell Mol Life Sci        ISSN: 1420-682X            Impact factor:   9.261


  10 in total

1.  3D structural analysis of proteins using electrostatic surfaces based on image segmentation.

Authors:  Dimitrios Vlachakis; Spyridon Champeris Tsaniras; Georgia Tsiliki; Vasileios Megalooikonomou; Sophia Kossida
Journal:  J Mol Biochem       Date:  2014-02-28

2.  Sequence- and interactome-based prediction of viral protein hotspots targeting host proteins: a case study for HIV Nef.

Authors:  Mahdi Sarmady; William Dampier; Aydin Tozeren
Journal:  PLoS One       Date:  2011-06-28       Impact factor: 3.240

3.  A library of protein surface patches discriminates between native structures and decoys generated by structure prediction servers.

Authors:  Roi Gamliel; Klara Kedem; Rachel Kolodny; Chen Keasar
Journal:  BMC Struct Biol       Date:  2011-05-04

4.  Protein surface characterization using an invariant descriptor.

Authors:  Zainab Abu Deeb; Donald A Adjeroh; Bing-Hua Jiang
Journal:  Int J Biomed Imaging       Date:  2011-11-22

5.  Visualisation of variable binding pockets on protein surfaces by probabilistic analysis of related structure sets.

Authors:  Paul Ashford; David S Moss; Alexander Alex; Siew K Yeap; Alice Povia; Irene Nobeli; Mark A Williams
Journal:  BMC Bioinformatics       Date:  2012-03-14       Impact factor: 3.169

6.  Protein surface representation and analysis by dimension reduction.

Authors:  Heng Yang; Rehman Qureshi; Ahmet Sacan
Journal:  Proteome Sci       Date:  2012-06-21       Impact factor: 2.480

7.  Local comparison of protein structures highlights cases of convergent evolution in analogous functional sites.

Authors:  Gabriele Ausiello; Daniele Peluso; Allegra Via; Manuela Helmer-Citterich
Journal:  BMC Bioinformatics       Date:  2007-03-08       Impact factor: 3.169

8.  Three-dimensional protein model similarity analysis based on salient shape index.

Authors:  Bo Yao; Zhong Li; Meng Ding; Minhong Chen
Journal:  BMC Bioinformatics       Date:  2016-03-18       Impact factor: 3.169

9.  Surface characterization of proteins using multi-fractal property of heat-denatured aggregates.

Authors:  Tapobrata Lahiri; Hrishikesh Mishra; Subrata Sarkar; Krishna Misra
Journal:  Bioinformation       Date:  2008-06-23

10.  Protein signatures using electrostatic molecular surfaces in harmonic space.

Authors:  C Sofia Carvalho; Dimitrios Vlachakis; Georgia Tsiliki; Vasileios Megalooikonomou; Sophia Kossida
Journal:  PeerJ       Date:  2013-10-22       Impact factor: 2.984

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.