ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures
- PMID: 15980475
- PMCID: PMC1160131
- DOI: 10.1093/nar/gki370
ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures
Abstract
Key amino acid positions that are important for maintaining the 3D structure of a protein and/or its function(s), e.g. catalytic activity, binding to ligand, DNA or other proteins, are often under strong evolutionary constraints. Thus, the biological importance of a residue often correlates with its level of evolutionary conservation within the protein family. ConSurf (http://consurf.tau.ac.il/) is a web-based tool that automatically calculates evolutionary conservation scores and maps them on protein structures via a user-friendly interface. Structurally and functionally important regions in the protein typically appear as patches of evolutionarily conserved residues that are spatially close to each other. We present here version 3.0 of ConSurf. This new version includes an empirical Bayesian method for scoring conservation, which is more accurate than the maximum-likelihood method that was used in the earlier release. Various additional steps in the calculation can now be controlled by a number of advanced options, thus further improving the accuracy of the calculation. Moreover, ConSurf version 3.0 also includes a measure of confidence for the inferred amino acid conservation scores.
Figures


Similar articles
-
The ConSurf-HSSP database: the mapping of evolutionary conservation among homologs onto PDB structures.Proteins. 2005 Feb 15;58(3):610-7. doi: 10.1002/prot.20305. Proteins. 2005. PMID: 15614759
-
ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids.Nucleic Acids Res. 2010 Jul;38(Web Server issue):W529-33. doi: 10.1093/nar/gkq399. Epub 2010 May 16. Nucleic Acids Res. 2010. PMID: 20478830 Free PMC article.
-
ConSurf: identification of functional regions in proteins by surface-mapping of phylogenetic information.Bioinformatics. 2003 Jan;19(1):163-4. doi: 10.1093/bioinformatics/19.1.163. Bioinformatics. 2003. PMID: 12499312
-
Scoring residue conservation.Proteins. 2002 Aug 1;48(2):227-41. doi: 10.1002/prot.10146. Proteins. 2002. PMID: 12112692 Review.
-
Wenxiang 3.0: Evolutionary Visualization of α, π, and 3/10 Helices.Evol Bioinform Online. 2022 May 31;18:11769343221101014. doi: 10.1177/11769343221101014. eCollection 2022. Evol Bioinform Online. 2022. PMID: 35668741 Free PMC article. Review.
Cited by
-
Structural basis for small G protein effector interaction of Ras-related protein 1 (Rap1) and adaptor protein Krev interaction trapped 1 (KRIT1).J Biol Chem. 2012 Jun 22;287(26):22317-27. doi: 10.1074/jbc.M112.361295. Epub 2012 May 10. J Biol Chem. 2012. PMID: 22577140 Free PMC article.
-
Importance of the protein framework for catalytic activity of [FeFe]-hydrogenases.J Biol Chem. 2012 Jan 6;287(2):1489-99. doi: 10.1074/jbc.M111.305797. Epub 2011 Nov 22. J Biol Chem. 2012. PMID: 22110126 Free PMC article.
-
Novel Compound Heterozygous TMPRSS15 Gene Variants Cause Enterokinase Deficiency.Front Genet. 2020 Sep 11;11:538778. doi: 10.3389/fgene.2020.538778. eCollection 2020. Front Genet. 2020. PMID: 33061943 Free PMC article.
-
Conserved Residues at the Mtr4 C-Terminus Coordinate Helicase Activity and Exosome Interactions.Biochemistry. 2024 Jan 2;63(1):159-170. doi: 10.1021/acs.biochem.3c00401. Epub 2023 Dec 12. Biochemistry. 2024. PMID: 38085597 Free PMC article.
-
Integrated Bioinformatics-Based Subtractive Genomics Approach to Decipher the Therapeutic Drug Target and Its Possible Intervention against Brucellosis.Bioengineering (Basel). 2022 Nov 1;9(11):633. doi: 10.3390/bioengineering9110633. Bioengineering (Basel). 2022. PMID: 36354544 Free PMC article.
References
-
- Glaser F., Pupko T., Paz I., Bell R.E., Bechor-Shental D., Martz E., Ben-Tal N. ConSurf: identification of functional regions in proteins by surface-mapping of phylogenetic information. Bioinformatics. 2003;19:163–164. - PubMed
-
- Mayrose I., Graur D., Ben-Tal N., Pupko T. Comparison of site-specific rate-inference methods for protein sequences: empirical Bayesian methods are superior. Mol. Biol. Evol. 2004;21:1781–1791. - PubMed
-
- Pupko T., Bell R.E., Mayrose I., Glaser F., Ben-Tal N. Rate4Site: an algorithmic tool for the identification of functional regions in proteins by surface mapping of evolutionary determinants within their homologues. Bioinformatics. 2002;18:S71–S77. - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources