Your browser doesn't support javascript.
loading
Evolution of physics-based methodology for exploring the conformational energy landscape of proteins.
Scheraga, Harold A; Pillardy, Jaroslaw; Liwo, Adam; Lee, Jooyoung; Czaplewski, Cezary; Ripoll, Daniel R; Wedemeyer, William J; Arnautova, Yelena A.
Afiliação
  • Scheraga HA; Baker Laboratory of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853-1301, USA. has5@cornell.edu
J Comput Chem ; 23(1): 28-34, 2002 Jan 15.
Article em En | MEDLINE | ID: mdl-11913387
The evolution of our physics-based computational methods for determining protein conformation without the introduction of secondary-structure predictions, homology modeling, threading, or fragment coupling is described. Initial use of a hard-sphere potential captured much of the structural properties of polypeptide chains, and subsequent more refined force fields, together with efficient methods of global optimization provide indications that progress is being made toward an understanding of the interresidue interactions that underlie protein folding.
Assuntos
Buscar no Google
Bases de dados: MEDLINE Assunto principal: Proteínas / Biologia Computacional Tipo de estudo: Prognostic_studies Idioma: En Revista: J Comput Chem Assunto da revista: QUIMICA Ano de publicação: 2002 Tipo de documento: Article País de afiliação: Estados Unidos
Buscar no Google
Bases de dados: MEDLINE Assunto principal: Proteínas / Biologia Computacional Tipo de estudo: Prognostic_studies Idioma: En Revista: J Comput Chem Assunto da revista: QUIMICA Ano de publicação: 2002 Tipo de documento: Article País de afiliação: Estados Unidos