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Structural genomics and the Protein Data Bank.
Michalska, Karolina; Joachimiak, Andrzej.
Afiliação
  • Michalska K; Center for Structural Genomics of Infectious Diseases, University of Chicago, Chicago, Illinois, USA; Structural Biology Center, X-Ray Science Division, Argonne National Laboratory, Lemont, Illinois, USA.
  • Joachimiak A; Center for Structural Genomics of Infectious Diseases, University of Chicago, Chicago, Illinois, USA; Structural Biology Center, X-Ray Science Division, Argonne National Laboratory, Lemont, Illinois, USA; Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, Illinois, USA. Electronic address: andrzejj@anl.gov.
J Biol Chem ; 296: 100747, 2021.
Article em En | MEDLINE | ID: mdl-33957120
The field of Structural Genomics arose over the last 3 decades to address a large and rapidly growing divergence between microbial genomic, functional, and structural data. Several international programs took advantage of the vast genomic sequence information and evaluated the feasibility of structure determination for expanded and newly discovered protein families. As a consequence, structural genomics has developed structure-determination pipelines and applied them to a wide range of novel, uncharacterized proteins, often from "microbial dark matter," and later to proteins from human pathogens. Advances were especially needed in protein production and rapid de novo structure solution. The experimental three-dimensional models were promptly made public, facilitating structure determination of other members of the family and helping to understand their molecular and biochemical functions. Improvements in experimental methods and databases resulted in fast progress in molecular and structural biology. The Protein Data Bank structure repository played a central role in the coordination of structural genomics efforts and the structural biology community as a whole. It facilitated development of standards and validation tools essential for maintaining high quality of deposited structural data.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Moleculares / Biologia Computacional / Genômica Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: J Biol Chem Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Moleculares / Biologia Computacional / Genômica Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: J Biol Chem Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos