Protein structure prediction by global optimization of a potential energy function

AUTOR(ES)

Liwo, Adam

FONTE

The National Academy of Sciences

RESUMO

An approach based exclusively on finding the global minimum of an appropriate potential energy function has been used to predict the unknown structures of five globular proteins with sizes ranging from 89 to 140 amino acid residues. Comparison of the computed lowest-energy structures of two of them (HDEA and MarA) with the crystal structures, released by the Protein Data Bank after the predictions were made, shows that large fragments (61 residues) of both proteins were predicted with rms deviations of 4.2 and 6.0 Å for the Cα atoms, for HDEA and MarA, respectively. This represents 80% and 53% of the observed structures of HDEA and MarA, respectively. Similar rms deviations were obtained for ∼60-residue fragments of the other three proteins. These results constitute an important step toward the prediction of protein structure based solely on global optimization of a potential energy function for a given amino acid sequence.

Documentos Relacionados

• Recent improvements in prediction of protein structure by global optimization of a potential energy function
• Packing helices in proteins by global optimization of a potential energy function
• Self-consistently optimized energy functions for protein structure prediction by molecular dynamics
• Prediction of structure and function of G protein-coupled receptors
• FINDSITE: a combined evolution/structure-based approach to protein function prediction