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Detalle de: A statistical mechanical method to optimize energy functions for protein folding

Title A statistical mechanical method to optimize energy functions for protein folding
Abstract

We present a method for deriving energy functions for protein folding by maximizing the thermodynamic average of the overlap with the native state. The method has been tested by using the pairwise contact approximation of the energy function and generating alternative structures by threading sequences over a database of 1,169 structures. With the derived energy function, most native structures: ( i ) have minimal energy and ( ii ) are thermodynamically rather stable, and ( iii ) the corresponding energy landscapes are smooth. Precisely, 92% of the 1,013 x-ray structures are stabilized. Most failures can be attributed to the neglect of interactions between chains forming polychain proteins and of interactions with cofactors. When these are considered, only nine cases remain unexplained. In contrast, 38% of NMR structures are not assigned properly.

Apa Reference Bastolla, U., Vendruscolo, M., & Knapp, E.-W. (2000). A statistical mechanical method to optimize energy functions for protein folding. Proceedings of the National Academy of Sciences, 97(8), 3977–3981. 10.1073/pnas.97.8.3977
Doi 10.1073/pnas.97.8.3977
Publication Date 11 Apr 2000
Publication Type Article
Researcher Ugo Bastolla
Ontology Functional annotation, Function prediction, Structural bioinformatics, Molecular flexibility, Molecular evolution, Conservation Analysis, Evolutionary modelling, Ecological modelling, Sequence Alignment, Phylogenetic Analysis, Mutation Analysis and design, Network Biology, Structure-function relationship, Evolutionary rates, Microbial communities, Population dynamics
Research Groups Computational biology and Bioinformatics (CBM): from Proteins to Ecosystems
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