I-Mutant2.0: Predicting stability changes upon mutation from the protein sequence or structure

Nucleic Acids Research

Volumn 33, Issue SUPPL. 2, 2005, Pages

  Capriotti, Emidio ^a   Fariselli, Piero ^a   Casadio, Rita ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

PROTEIN; AMINO ACID;

AMINO ACID SEQUENCE; ANALYTICAL ERROR; ARTICLE; CLIENT SERVER APPLICATION; COMPUTER PREDICTION; CORRELATION ANALYSIS; DATA BASE; INTERNET; POINT MUTATION; PRIORITY JOURNAL; PROTEIN STABILITY; PROTEIN STRUCTURE; THERMODYNAMICS; VALIDATION PROCESS; ARTIFICIAL INTELLIGENCE; CHEMISTRY; COMPUTER INTERFACE; COMPUTER PROGRAM; EVALUATION; GENETICS; METHODOLOGY; PROTEIN ENGINEERING; PROTEIN TERTIARY STRUCTURE; SEQUENCE ANALYSIS; ACCURACY; AUTOMATION; CONTROLLED STUDY; PROCESS DESIGN; PROTEIN DATABASE; REGRESSION ANALYSIS;

ARTIFICIAL INTELLIGENCE; INTERNET; POINT MUTATION; PROTEIN ENGINEERING; PROTEIN STRUCTURE, TERTIARY; PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE; THERMODYNAMICS; USER-COMPUTER INTERFACE;

EID: 23144461249     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gki375     Document Type: Article

References (8)

1. Casadio,R., Compiani,M., Fariselli,P. and Vivarelli,F. (1995) Predicting free energy contributions to the conformational stability of folded proteins from the residue sequence with radial basis function networks. Proc. Int. Conf. Intell. Syst. Mol. Biol., 3, 81-88.
2. Gilis,D. and Rooman,M. (1997) Predicting protein stability changes upon mutation using database-derived potentials: Solvent accessibility determines the importance of local versus non-local interactions along the sequence. J. Mol. Biol., 272, 276-290.
3. Guerois,R., Nielsen,J.E. and Serrano,L. (2002) Predicting changes in the stability of proteins and protein complexes: A study of more than 1000 mutations. J. Mol. Biol., 320, 369-387.
4. Khatun,J., Khare,S.D. and Dokholyan,N.V. (2004) Can contact potentials reliably predict stability of proteins? J. Mol. Biol., 336, 1223-1238.
5. Zhou,H. and Zhou,Y. (2002) Distance-scaled, finite ideal-gas reference state improves structure-derived potentials of mean force for structure selection and stability prediction. Protein Sci., 11, 2714-2726.
6. Capriotti,E., Fariselli,P. and Casadio,R. (2004) A neural network-based method for predicting protein stability changes upon single point mutations. Bioinformatics, 20, I63-I68.
7. Bava,K.A., Gromiha,M.M., Uedaira,H., Kitajima,K. and Sarai,A. (2004) ProTherm, version 4.0: Thermodynamic database for proteins and mutants. Nucleic Acids Res., 32, D120-D121.
8. Kabsch,W. and Sander,C. (1983) Dictionary of protein secondary structure: Pattern of hydrogen-bonded and geometrical features. Biopolymers, 22, 2577-2637.