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Contenu archivé le 2022-12-23

Protein Folding and Stability

Objectif



This proposal concerns the development of torsion Monte Carlo minimization algorithm for computer simulations of protein folding in which the free energy function is obtained from potentials of mean force based on experimental high resolution x-ray structures of proteins.

The mechanism by which a globular protein folds from the denatured state to the native conformation is one of the unsolved key problems in protein chemistry. Most globular proteins can spontaneously refold in vitro after being completely unfolded, hence the sequence of amino acid residues from which protein comprises contains all information required to generate its three-dimensional structure.

A considerable effort has been directed to find the native conformation of proteins by theoretical methods. So far, no successful determination of the native protein conformation by these methods has been reported.
Recently, we introduced a new torsion Monte Carlo minimization algorithm for the computer simulations of protein folding. In this method the concept of potential of mean force, based on high resolution x-ray protein structures, is used to obtain the free energy contributions of individual interactions in proteins. The method was successful in finding the native conformation of the small peptides considered to be the initiation sites of proteins.

We will improve this method by introducing variable hydrogen bond strength and other enhancements to fold larger polypeptides and small, one domain proteins. The development of relatively inexpensive torsion Monte Carlo method should contribute to the general applicability of computer methods for the simulations of protein folding.

Appel à propositions

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Régime de financement

CSC - Cost-sharing contracts

Coordinateur

Universidad Complutense de Madrid
Contribution de l’UE
Aucune donnée
Adresse
Ciudad Universitaria
28040 Madrid
Espagne

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Coût total
Aucune donnée

Participants (2)