Literature DB >> 20221915

Thermodynamic database for proteins: features and applications.

M Michael Gromiha1, Akinori Sarai.   

Abstract

We have developed a thermodynamic database for proteins and mutants, ProTherm, which is a collection of a large number of thermodynamic data on protein stability along with the sequence and structure information, experimental methods and conditions, and literature information. This is a valuable resource for understanding/predicting the stability of proteins, and it can be accessible at http://www.gibk26.bse.kyutech.ac.jp/jouhou/Protherm/protherm.html . ProTherm has several features including various search, display, and sorting options and visualization tools. We have analyzed the data in ProTherm to examine the relationship among thermodynamics, structure, and function of proteins. We describe the progress on the development of methods for understanding/predicting protein stability, such as (i) relationship between the stability of protein mutants and amino acid properties, (ii) average assignment method, (iii) empirical energy functions, (iv) torsion, distance, and contact potentials, and (v) machine learning techniques. The list of online resources for predicting protein stability has also been provided.

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Year:  2010        PMID: 20221915     DOI: 10.1007/978-1-60327-241-4_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  10 in total

1.  Predicting folding free energy changes upon single point mutations.

Authors:  Zhe Zhang; Lin Wang; Yang Gao; Jie Zhang; Maxim Zhenirovskyy; Emil Alexov
Journal:  Bioinformatics       Date:  2012-01-11       Impact factor: 6.937

Review 2.  Utilizing natural diversity to evolve protein function: applications towards thermostability.

Authors:  Megan F Cole; Eric A Gaucher
Journal:  Curr Opin Chem Biol       Date:  2011-04-04       Impact factor: 8.822

3.  iStable: off-the-shelf predictor integration for predicting protein stability changes.

Authors:  Chi-Wei Chen; Jerome Lin; Yen-Wei Chu
Journal:  BMC Bioinformatics       Date:  2013-01-21       Impact factor: 3.169

4.  SDM--a server for predicting effects of mutations on protein stability and malfunction.

Authors:  Catherine L Worth; Robert Preissner; Tom L Blundell
Journal:  Nucleic Acids Res       Date:  2011-05-18       Impact factor: 16.971

5.  MAESTRO--multi agent stability prediction upon point mutations.

Authors:  Josef Laimer; Heidi Hofer; Marko Fritz; Stefan Wegenkittl; Peter Lackner
Journal:  BMC Bioinformatics       Date:  2015-04-16       Impact factor: 3.169

6.  A coarse-grained elastic network atom contact model and its use in the simulation of protein dynamics and the prediction of the effect of mutations.

Authors:  Vincent Frappier; Rafael J Najmanovich
Journal:  PLoS Comput Biol       Date:  2014-04-24       Impact factor: 4.475

7.  Proteus: An algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3D structures.

Authors:  José Renato M S Barroso; Diego Mariano; Sandro R Dias; Rafael E O Rocha; Lucianna H Santos; Ronaldo A P Nagem; Raquel C de Melo-Minardi
Journal:  BMC Bioinformatics       Date:  2020-07-01       Impact factor: 3.169

8.  KStable: A Computational Method for Predicting Protein Thermal Stability Changes by K-Star with Regular-mRMR Feature Selection.

Authors:  Chi-Wei Chen; Kai-Po Chang; Cheng-Wei Ho; Hsung-Pin Chang; Yen-Wei Chu
Journal:  Entropy (Basel)       Date:  2018-12-19       Impact factor: 2.524

9.  Global computational mutagenesis provides a critical stability framework in protein structures.

Authors:  Caitlyn L McCafferty; Yuri V Sergeev
Journal:  PLoS One       Date:  2017-12-07       Impact factor: 3.240

10.  In-depth interrogation of protein thermal unfolding data with MoltenProt.

Authors:  Vadim Kotov; Georg Mlynek; Oliver Vesper; Marina Pletzer; Jiri Wald; Celso M Teixeira-Duarte; Herve Celia; Maria Garcia-Alai; Stephan Nussberger; Susan K Buchanan; João H Morais-Cabral; Christian Loew; Kristina Djinovic-Carugo; Thomas C Marlovits
Journal:  Protein Sci       Date:  2020-11-21       Impact factor: 6.725

  10 in total

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