Literature DB >> 11893514

Getting the most from PSI-BLAST.

David T Jones1, Mark B Swindells.   

Abstract

Most biologists now conduct sequence searches as a matter of course. But how do we know that a relationship predicted by a homology search is a true, rather than false, hit with the same score? Many biologists design their own experiments with exquisite care yet still assume that results from programs with more than 20 adjustable parameters are 100% reliable. This article explains some of the key steps in getting the most from PSI-Blast, one of the most popular and powerful homology search programs currently available.

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Year:  2002        PMID: 11893514     DOI: 10.1016/s0968-0004(01)02039-4

Source DB:  PubMed          Journal:  Trends Biochem Sci        ISSN: 0968-0004            Impact factor:   13.807


  48 in total

1.  The directional atomic solvation energy: an atom-based potential for the assignment of protein sequences to known folds.

Authors:  Parag Mallick; Robert Weiss; David Eisenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-02       Impact factor: 11.205

2.  Annotation in three dimensions. PINTS: Patterns in Non-homologous Tertiary Structures.

Authors:  Alexander Stark; Robert B Russell
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

3.  MoRFpred, a computational tool for sequence-based prediction and characterization of short disorder-to-order transitioning binding regions in proteins.

Authors:  Fatemeh Miri Disfani; Wei-Lun Hsu; Marcin J Mizianty; Christopher J Oldfield; Bin Xue; A Keith Dunker; Vladimir N Uversky; Lukasz Kurgan
Journal:  Bioinformatics       Date:  2012-06-15       Impact factor: 6.937

Review 4.  Interpreting functional effects of coding variants: challenges in proteome-scale prediction, annotation and assessment.

Authors:  Khader Shameer; Lokesh P Tripathi; Krishna R Kalari; Joel T Dudley; Ramanathan Sowdhamini
Journal:  Brief Bioinform       Date:  2015-10-22       Impact factor: 11.622

5.  Assessing strategies for improved superfamily recognition.

Authors:  Ian Sillitoe; Mark Dibley; James Bray; Sarah Addou; Christine Orengo
Journal:  Protein Sci       Date:  2005-06-03       Impact factor: 6.725

6.  Effective function annotation through catalytic residue conservation.

Authors:  Richard A George; Ruth V Spriggs; Gail J Bartlett; Alex Gutteridge; Malcolm W MacArthur; Craig T Porter; Bissan Al-Lazikani; Janet M Thornton; Mark B Swindells
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-21       Impact factor: 11.205

7.  Functional annotation prediction: all for one and one for all.

Authors:  Ori Sasson; Noam Kaplan; Michal Linial
Journal:  Protein Sci       Date:  2006-05-02       Impact factor: 6.725

8.  Prediction of protein function improving sequence remote alignment search by a fuzzy logic algorithm.

Authors:  Antonio Gómez; Juan Cedano; Jordi Espadaler; Antonio Hermoso; Jaume Piñol; Enrique Querol
Journal:  Protein J       Date:  2008-02       Impact factor: 2.371

Review 9.  Novel bacterial ADP-ribosylating toxins: structure and function.

Authors:  Nathan C Simon; Klaus Aktories; Joseph T Barbieri
Journal:  Nat Rev Microbiol       Date:  2014-07-14       Impact factor: 60.633

10.  Protein subcellular localization prediction of eukaryotes using a knowledge-based approach.

Authors:  Hsin-Nan Lin; Ching-Tai Chen; Ting-Yi Sung; Shinn-Ying Ho; Wen-Lian Hsu
Journal:  BMC Bioinformatics       Date:  2009-12-03       Impact factor: 3.169

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