Literature DB >> 11152139

Evaluation of PSI-BLAST alignment accuracy in comparison to structural alignments.

I Friedberg1, T Kaplan, H Margalit.   

Abstract

The PSI-BLAST algorithm has been acknowledged as one of the most powerful tools for detecting remote evolutionary relationships by sequence considerations only. This has been demonstrated by its ability to recognize remote structural homologues and by the greatest coverage it enables in annotation of a complete genome. Although recognizing the correct fold of a sequence is of major importance, the accuracy of the alignment is crucial for the success of modeling one sequence by the structure of its remote homologue. Here we assess the accuracy of PSI-BLAST alignments on a stringent database of 123 structurally similar, sequence-dissimilar pairs of proteins, by comparing them to the alignments defined on a structural basis. Each protein sequence is compared to a nonredundant database of the protein sequences by PSI-BLAST. Whenever a pair member detects its pair-mate, the positions that are aligned both in the sequential and structural alignments are determined, and the alignment sensitivity is expressed as the percentage of these positions out of the structural alignment. Fifty-two sequences detected their pair-mates (for 16 pairs the success was bi-directional when either pair member was used as a query). The average percentage of correctly aligned residues per structural alignment was 43.5+/-2.2%. Other properties of the alignments were also examined, such as the sensitivity vs. specificity and the change in these parameters over consecutive iterations. Notably, there is an improvement in alignment sensitivity over consecutive iterations, reaching an average of 50.9+/-2.5% within the five iterations tested in the current study.

Mesh:

Year:  2000        PMID: 11152139      PMCID: PMC2144484          DOI: 10.1110/ps.9.11.2278

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  35 in total

1.  A measure of progress in fold recognition?

Authors:  A Marchler-Bauer; S H Bryant
Journal:  Proteins       Date:  1999

2.  Combination of threading potentials and sequence profiles improves fold recognition.

Authors:  A R Panchenko; A Marchler-Bauer; S H Bryant
Journal:  J Mol Biol       Date:  2000-03-10       Impact factor: 5.469

3.  Structure-based evaluation of sequence comparison and fold recognition alignment accuracy.

Authors:  F S Domingues; P Lackner; A Andreeva; M J Sippl
Journal:  J Mol Biol       Date:  2000-04-07       Impact factor: 5.469

4.  Expectations from structural genomics.

Authors:  S E Brenner; M Levitt
Journal:  Protein Sci       Date:  2000-01       Impact factor: 6.725

5.  Large-scale comparison of protein sequence alignment algorithms with structure alignments.

Authors:  J M Sauder; J W Arthur; R L Dunbrack
Journal:  Proteins       Date:  2000-07-01

6.  Fast assignment of protein structures to sequences using the intermediate sequence library PDB-ISL.

Authors:  S A Teichmann; C Chothia; G M Church; J Park
Journal:  Bioinformatics       Date:  2000-02       Impact factor: 6.937

7.  Characterization of novel proteins based on known protein structures.

Authors:  W A Koppensteiner; P Lackner; M Wiederstein; M J Sippl
Journal:  J Mol Biol       Date:  2000-03-03       Impact factor: 5.469

8.  Benchmarking PSI-BLAST in genome annotation.

Authors:  A Müller; R M MacCallum; M J Sternberg
Journal:  J Mol Biol       Date:  1999-11-12       Impact factor: 5.469

9.  Database of homology-derived protein structures and the structural meaning of sequence alignment.

Authors:  C Sander; R Schneider
Journal:  Proteins       Date:  1991

10.  Identification of common molecular subsequences.

Authors:  T F Smith; M S Waterman
Journal:  J Mol Biol       Date:  1981-03-25       Impact factor: 5.469

View more
  14 in total

1.  Persistently conserved positions in structurally similar, sequence dissimilar proteins: roles in preserving protein fold and function.

Authors:  Iddo Friedberg; Hanah Margalit
Journal:  Protein Sci       Date:  2002-02       Impact factor: 6.725

2.  Identification of potential interaction networks using sequence-based searches for conserved protein-protein interactions or "interologs".

Authors:  L R Matthews; P Vaglio; J Reboul; H Ge; B P Davis; J Garrels; S Vincent; M Vidal
Journal:  Genome Res       Date:  2001-12       Impact factor: 9.043

3.  Comparative protein structure modeling by iterative alignment, model building and model assessment.

Authors:  Bino John; Andrej Sali
Journal:  Nucleic Acids Res       Date:  2003-07-15       Impact factor: 16.971

4.  Comprehensive evaluation of protein structure alignment methods: scoring by geometric measures.

Authors:  Rachel Kolodny; Patrice Koehl; Michael Levitt
Journal:  J Mol Biol       Date:  2005-01-16       Impact factor: 5.469

5.  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

6.  Three globin lineages belonging to two structural classes in genomes from the three kingdoms of life.

Authors:  Serge N Vinogradov; David Hoogewijs; Xavier Bailly; Raúl Arredondo-Peter; Michel Guertin; Julian Gough; Sylvia Dewilde; Luc Moens; Jacques R Vanfleteren
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-01       Impact factor: 11.205

7.  A directed approach to improving the solubility of Moloney murine leukemia virus reverse transcriptase.

Authors:  D Das; M M Georgiadis
Journal:  Protein Sci       Date:  2001-10       Impact factor: 6.725

8.  Calcium-induced tertiary structure modifications of endo-beta-1,3-glucanase from Pyrococcus furiosus in 7.9 M guanidinium chloride.

Authors:  Roberta Chiaraluce; Giulio Gianese; Sebastiana Angelaccio; Rita Florio; Johan F T van Lieshout; John van der Oost; Valerio Consalvi
Journal:  Biochem J       Date:  2005-03-15       Impact factor: 3.857

9.  AlignHUSH: alignment of HMMs using structure and hydrophobicity information.

Authors:  Oruganty Krishnadev; Narayanaswamy Srinivasan
Journal:  BMC Bioinformatics       Date:  2011-07-05       Impact factor: 3.169

10.  Blocking protein kinase C signaling pathway: mechanistic insights into the anti-leishmanial activity of prospective herbal drugs from Withania somnifera.

Authors:  Abhinav Grover; Shashank Prakash Katiyar; Jeyaraman Jeyakanthan; Vikash Kumar Dubey; Durai Sundar
Journal:  BMC Genomics       Date:  2012-12-13       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.