Exploiting evolutionary relationships for predicting protein structures (Articolo in rivista)

Type
Label
  • Exploiting evolutionary relationships for predicting protein structures (Articolo in rivista) (literal)
Anno
  • 2003-01-01T00:00:00+01:00 (literal)
Alternative label
  • Tramontano A; Morea V. (2003)
    Exploiting evolutionary relationships for predicting protein structures
    in Biotechnology and bioengineering (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Tramontano A; Morea V. (literal)
Pagina inizio
  • 756 (literal)
Pagina fine
  • 762 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 84 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Department of Biochemical Sciences ''A. Rossi Fanelli,'' University ''La Sapienza,'' P. le Aldo Moro 5, 00185 Rome, Italy; Institute of Molecular Biology and Pathology, CNR, Rome, Italy (literal)
Titolo
  • Exploiting evolutionary relationships for predicting protein structures (literal)
Abstract
  • In the last few years there have been many developments in computational biology, particularly with regard to novel, imaginative exploitation of genomic data. Disappointingly, there has been a lack of progress in the methodology for prediction of protein structures. In the last several years, however, promising new methods have finally begun to emerge. These methods are increasing the power and scope of the methodology, but, most importantly, they are generating new areas of investigation that we believe will accelerate progress in the field. In this review we describe recent developments and highlight the implications of their success as well as areas where efforts should be focused. (literal)
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Autore CNR

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