Literature DB >> 9847203

ProTherm: Thermodynamic Database for Proteins and Mutants.

M M Gromiha1, J An, H Kono, M Oobatake, H Uedaira, A Sarai.   

Abstract

The first release of the Thermodynamic Database for Proteins and Mutants (ProTherm) contains more than 3300 data of several thermodynamic parameters for wild type and mutant proteins. Each entry includes numerical data for unfolding Gibbs free energy change, enthalpy change, heat capacity change, transition temperature, activity etc., which are important for understanding the mechanism of protein stability. ProTherm also includes structural information such as secondary structure and solvent accessibility of wild type residues, and experimental methods and other conditions. A WWW interface enables users to search data based on various conditions with different sorting options for outputs. Further, ProTherm is cross-linked with NCBI PUBMED literature database, Protein Mutant Database, Enzyme Code and Protein Data Bank structural database. Moreover, all the mutation sites associated with each PDB structure are automatically mapped and can be directly viewed through 3DinSight developed in our laboratory. The database is available at the URL, http://www.rtc.riken.go.jp/protherm.htm l

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Year:  1999        PMID: 9847203      PMCID: PMC148158          DOI: 10.1093/nar/27.1.286

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


  26 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.  On the thermal unfolding character of globular proteins.

Authors:  R Muthusamy; M M Gromiha; P K Ponnuswamy
Journal:  J Protein Chem       Date:  2000-01

3.  ProTherm, Thermodynamic Database for Proteins and Mutants: developments in version 3.0.

Authors:  M Michael Gromiha; Hatsuho Uedaira; Jianghong An; Samuel Selvaraj; Ponraj Prabakaran; Akinori Sarai
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

4.  ProTherm, version 4.0: thermodynamic database for proteins and mutants.

Authors:  K Abdulla Bava; M Michael Gromiha; Hatsuho Uedaira; Koji Kitajima; Akinori Sarai
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

5.  Elucidating protein thermodynamics from the three-dimensional structure of the native state using network rigidity.

Authors:  Donald J Jacobs; Sargis Dallakyan
Journal:  Biophys J       Date:  2004-11-12       Impact factor: 4.033

6.  Real value prediction of protein folding rate change upon point mutation.

Authors:  Liang-Tsung Huang; M Michael Gromiha
Journal:  J Comput Aided Mol Des       Date:  2012-03-18       Impact factor: 3.686

7.  Sequence analysis and rule development of predicting protein stability change upon mutation using decision tree model.

Authors:  Liang-Tsung Huang; M Michael Gromiha; Shinn-Ying Ho
Journal:  J Mol Model       Date:  2007-03-30       Impact factor: 1.810

8.  Protein databases on the internet.

Authors:  Dong Xu; Ying Xu
Journal:  Curr Protoc Mol Biol       Date:  2004-11

9.  Meet me halfway: when genomics meets structural bioinformatics.

Authors:  Sungsam Gong; Catherine L Worth; Tammy M K Cheng; Tom L Blundell
Journal:  J Cardiovasc Transl Res       Date:  2011-02-25       Impact factor: 4.132

10.  Databases and QSAR for cancer research.

Authors:  Adeel Malik; Hemajit Singh; Munazah Andrabi; Syed Akhtar Husain; Shandar Ahmad
Journal:  Cancer Inform       Date:  2007-02-15
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