The characterization of the protein folding process represents one of the major challenges in molecular biology. Here, a method to simulate the folding process of a protein to its native state is reported, the essential dynamics sampling (EDS) method, and is successfully applied to detecting the correct folding pathways of two small proteins, the all-beta SH3 domain of Src tyrosine kinase transforming protein (SH3) and the alpha/beta B1 domain of streptococcal protein G (GB1). The main idea of the method is that a subset of the natural modes of fluctuation in the native state is key in directing the folding process. A biased molecular dynamics simulation is performed, in which the restrained degrees of freedom are chosen among those obtained by a principal component, or essential dynamics, analysis of the positional fluctuations of the C alpha atoms in the native state. Successful folding is obtained if the restraints are applied only to the eigenvectors with lowest eigenvalues, representing the most rigid quasi-constraint motions. If the essential eigenvectors, the ones accounting for most of the variance, are used, folding is not successful. These results clearly show that the eigenvectors with lowest eigenvalues contain the main mechanical information necessary to drive the folding process, while the essential eigenvectors represent the large concerted motions which can occur without folding/unfolding the protein.

Narzi, D., Daidone, I., Amadei, A., & Nola, A.D. (2008). Protein folding pathways revealed by essential dynamics sampling. JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 4(11), 1940-1948 [10.1021/ct800157v].

Protein folding pathways revealed by essential dynamics sampling

AMADEI, ANDREA;
2008

Abstract

The characterization of the protein folding process represents one of the major challenges in molecular biology. Here, a method to simulate the folding process of a protein to its native state is reported, the essential dynamics sampling (EDS) method, and is successfully applied to detecting the correct folding pathways of two small proteins, the all-beta SH3 domain of Src tyrosine kinase transforming protein (SH3) and the alpha/beta B1 domain of streptococcal protein G (GB1). The main idea of the method is that a subset of the natural modes of fluctuation in the native state is key in directing the folding process. A biased molecular dynamics simulation is performed, in which the restrained degrees of freedom are chosen among those obtained by a principal component, or essential dynamics, analysis of the positional fluctuations of the C alpha atoms in the native state. Successful folding is obtained if the restraints are applied only to the eigenvectors with lowest eigenvalues, representing the most rigid quasi-constraint motions. If the essential eigenvectors, the ones accounting for most of the variance, are used, folding is not successful. These results clearly show that the eigenvectors with lowest eigenvalues contain the main mechanical information necessary to drive the folding process, while the essential eigenvectors represent the large concerted motions which can occur without folding/unfolding the protein.
Pubblicato
Rilevanza internazionale
Articolo
Sì, ma tipo non specificato
Settore CHIM/02 - Chimica Fisica
English
Con Impact Factor ISI
FREE-ENERGY LANDSCAPE; IMMUNOGLOBULIN-BINDING DOMAIN; BETA-HAIRPIN FORMATION; HEART CYTOCHROME-C; MOLECULAR-DYNAMICS; COMPUTER-SIMULATIONS; UNFOLDING PATHWAYS; TRANSITION-STATE; B1 DOMAIN; PEPTIDE
Narzi, D., Daidone, I., Amadei, A., & Nola, A.D. (2008). Protein folding pathways revealed by essential dynamics sampling. JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 4(11), 1940-1948 [10.1021/ct800157v].
Narzi, D; Daidone, I; Amadei, A; Nola, A
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/23566
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