Literature DB >> 9847227

The Protein Mutant Database.

T Kawabata1, M Ota, K Nishikawa.   

Abstract

Currently the protein mutant database (PMD) contains over 81 000 mutants, including artificial as well as natural mutants of various proteins extracted from about 10 000 articles. We recently developed a powerful viewing and retrieving system (http://pmd.ddbj.nig.ac.jp), which is integrated with the sequence and tertiary structure databases. The system has the following features: (i) mutated sequences are displayed after being automatically generated from the information described in the entry together with the sequence data of wild-type proteins integrated. This is a convenient feature because it allows one to see the position of altered amino acids (shown in a different color) in the entire sequence of a wild-type protein; (ii) for those proteins whose 3D structures have been experimentally determined, a 3D structure is displayed to show mutation sites in a different color; (iii) a sequence homology search against PMD can be carried out with any query sequence; (iv) a summary of mutations of homologous sequences can be displayed, which shows all the mutations at a certain site of a protein, recorded throughout the PMD.

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Year:  1999        PMID: 9847227      PMCID: PMC148182          DOI: 10.1093/nar/27.1.355

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  64 in total

1.  ProTherm, version 2.0: thermodynamic database for proteins and mutants.

Authors:  M M Gromiha; J An; H Kono; M Oobatake; H Uedaira; P Prabakaran; A Sarai
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  MitoProteome: mitochondrial protein sequence database and annotation system.

Authors:  Dawn Cotter; Purnima Guda; Eoin Fahy; Shankar Subramaniam
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

3.  The PSSH database of alignments between protein sequences and tertiary structures.

Authors:  Andrea Schafferhans; Joachim E W Meyer; Seán I O'Donoghue
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

Review 4.  Bioinformatics for personal genome interpretation.

Authors:  Emidio Capriotti; Nathan L Nehrt; Maricel G Kann; Yana Bromberg
Journal:  Brief Bioinform       Date:  2012-01-13       Impact factor: 11.622

Review 5.  Computational approaches to study the effects of small genomic variations.

Authors:  Kamil Khafizov; Maxim V Ivanov; Olga V Glazova; Sergei P Kovalenko
Journal:  J Mol Model       Date:  2015-09-08       Impact factor: 1.810

6.  The exchangeability of amino acids in proteins.

Authors:  Lev Y Yampolsky; Arlin Stoltzfus
Journal:  Genetics       Date:  2005-06-08       Impact factor: 4.562

7.  Incorporating molecular and functional context into the analysis and prioritization of human variants associated with cancer.

Authors:  Thomas A Peterson; Nathan L Nehrt; Dohwan Park; Maricel G Kann
Journal:  J Am Med Inform Assoc       Date:  2012 Mar-Apr       Impact factor: 4.497

8.  Next generation tools for the annotation of human SNPs.

Authors:  Rachel Karchin
Journal:  Brief Bioinform       Date:  2009-01       Impact factor: 11.622

9.  Neutral and weakly nonneutral sequence variants may define individuality.

Authors:  Yana Bromberg; Peter C Kahn; Burkhard Rost
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-12       Impact factor: 11.205

10.  Large-scale mass spectrometric detection of variant peptides resulting from nonsynonymous nucleotide differences.

Authors:  Gloria M Sheynkman; Michael R Shortreed; Brian L Frey; Mark Scalf; Lloyd M Smith
Journal:  J Proteome Res       Date:  2013-11-11       Impact factor: 4.466

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