Literature DB >> 9749915

Misleading local sequence alignments: implications for comparative protein modelling.

M A Saqi1, R B Russell, M J Sternberg.   

Abstract

Although it is well known that significant sequence similarity between proteins is reflected at the structural level, it is commonly assumed that any misaligned regions, as judged by the correct structure based alignment, are those where the local sequence identity is lower than the global. Recent studies have shown that this is not always the case and there can exist short stretches of high local identity which is not reflected in the structure based alignment. An analysis is presented of 290 pairs of homologous proteins with a view to quantifying the occurrence of these misleading local sequence alignments (MLSAs). It is found that such MLSAs are likely if the global sequence identity is less than 40% and can occur even when it is greater than 60%. The results have implications for automated homology modelling and also for the inference of function made by comparison.

Mesh:

Substances:

Year:  1998        PMID: 9749915     DOI: 10.1093/protein/11.8.627

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


  5 in total

1.  Visualization of near-optimal sequence alignments.

Authors:  Michael E Smoot; Stephanie A Guerlain; William R Pearson
Journal:  Bioinformatics       Date:  2004-01-29       Impact factor: 6.937

2.  Comparative protein structure modeling using Modeller.

Authors:  Ben Webb; Andrej Sali; Narayanan Eswar; Marc A Marti-Renom; M S Madhusudhan; David Eramian; Min-Yi Shen; Ursula Pieper
Journal:  Curr Protoc Bioinformatics       Date:  2006-10

3.  Comparative Protein Structure Modeling Using MODELLER.

Authors:  Benjamin Webb; Andrej Sali
Journal:  Curr Protoc Bioinformatics       Date:  2016-06-20

Review 4.  Structural and functional insights of Wilson disease copper-transporting ATPase.

Authors:  Negah Fatemi; Bibudhendra Sarkar
Journal:  J Bioenerg Biomembr       Date:  2002-10       Impact factor: 2.945

5.  Identification of diagnostic peptide regions that distinguish Zika virus from related mosquito-borne Flaviviruses.

Authors:  Alexandra J Lee; Roshni Bhattacharya; Richard H Scheuermann; Brett E Pickett
Journal:  PLoS One       Date:  2017-05-31       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.