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dc.contributor.author
Vila, Jorge Alberto  
dc.contributor.author
Ripoll, Daniel R.  
dc.contributor.author
Scheraga, Harold A.  
dc.date.available
2020-11-18T18:57:15Z  
dc.date.issued
2003-09  
dc.identifier.citation
Vila, Jorge Alberto; Ripoll, Daniel R.; Scheraga, Harold A.; Atomically-detailed folding simulation of the B domain of staphylococcal protein A from random structures; National Academy of Sciences; Proceedings of the National Academy of Sciences of The United States of America; 100; 25; 9-2003; 14812-14816  
dc.identifier.issn
0027-8424  
dc.identifier.uri
http://hdl.handle.net/11336/118626  
dc.description.abstract
The conformational space of the 10–55 fragment of the B-domain of staphylococcal protein A has been investigated by using the electrostatically driven Monte Carlo (EDMC) method. The ECEPP/3 (empirical conformational energy program for peptides) force-field plus two different continuum solvation models, namely SRFOPT (Solvent Radii Fixed with atomic solvation parameters OPTimized) and OONS (Ooi, Oobatake, Némethy, and Scheraga solvation model), were used to describe the conformational energy of the chain. After an exhaustive search, starting from two different random conformations, three of four runs led to native-like conformations. Boltzmann-averaged root-mean-square deviations (RMSD) for all of the backbone heavy atoms with respect to the native structure of 3.35 Å and 4.54 Å were obtained with SRFOPT and OONS, respectively. These results show that the protein-folding problem can be solved at the atomic detail level by an ab initio procedure, starting from random conformations, with no knowledge except the amino acid sequence. To our knowledge, the results reported here correspond to the largest protein ever folded from a random conformation by an initial-value formulation with a full atomic potential, without resort to knowledge-based information. For many years, methods have been developed to compute the 3D structures of polypeptides, based on empirical atomic-based potential energy functions and global optimization of such functions. Because of limitations in computer power, these methods have been confined to small molecules such as the pentapeptide enkephalin (1–15), the decapeptide gramicidin S (16–21), and linear fibrous proteins such as collagen-like repeating polytripeptides (22–24). Inclusion of explicit or implicit hydration in the potential function only exacerbated the global optimization problem. However, with the recent availability of cost-effective alternatives to large supercomputers, such as Beowulf class cluster computers (25), it is now possible to extend the application of such ab initio physics-based methods to larger molecules. In this article, we report the results of the global optimization of the all-atom force field ECEPP/3 (empirical conformational energy program for peptides) (26–29) plus two implicit hydration models [SRFOPT (Solvent Radii Fixed with atomic solvation parameters OPTimized; ref. 30) and OONS (Ooi, Oobatake, Némethy, and Scheraga solvation model; ref. 31)], using the electrostatically driven Monte Carlo (EDMC) method (32, 33) to explore the conformational space of the 10–55 fragment of the B-domain of the staphylococcal protein A molecule, efficiently. The structure of this fragment of the B-domain of the protein A molecule is known from x-ray (34) and NMR (35) investigations, and from minimalist and all-atom simulations (36–46). However, such initial-value-formulated simulations (except for ref. 46, which is a boundary-value formulation) were not started from a random conformation. Therefore, in this work, we attempted to provide an extensive exploration of the conformational space by starting from two different randomly chosen conformations, using a Beowulf class cluster.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
National Academy of Sciences  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
FOLDING  
dc.subject
PROTEIN A  
dc.subject
SIMULATION  
dc.subject.classification
Física Atómica, Molecular y Química  
dc.subject.classification
Ciencias Físicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Atomically-detailed folding simulation of the B domain of staphylococcal protein A from random structures  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-09-03T19:25:32Z  
dc.journal.volume
100  
dc.journal.number
25  
dc.journal.pagination
14812-14816  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Washington  
dc.description.fil
Fil: Vila, Jorge Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi". Universidad Nacional de San Luis. Facultad de Ciencias Físico, Matemáticas y Naturales. Instituto de Matemática Aplicada de San Luis "Prof. Ezio Marchi"; Argentina. Cornell University; Estados Unidos  
dc.description.fil
Fil: Ripoll, Daniel R.. Cornell University; Estados Unidos  
dc.description.fil
Fil: Scheraga, Harold A.. Cornell University; Estados Unidos  
dc.journal.title
Proceedings of the National Academy of Sciences of The United States of America  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.pnas.org/content/100/25/14812  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1073/pnas.2436463100