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Next Generation Protein Structure Predictions and Genetic Variant Interpretation.
Diwan, Gaurav D; Gonzalez-Sanchez, Juan Carlos; Apic, Gordana; Russell, Robert B.
Afiliação
  • Diwan GD; BioQuant, Heidelberg University, Im Neuenheimer Feld 267, Heidelberg, Germany; Biochemistry Center (BZH), Heidelberg University, Im Neuenheimer Feld 328, Heidelberg, Germany. Electronic address: https://twitter.com/gddiwan.
  • Gonzalez-Sanchez JC; BioQuant, Heidelberg University, Im Neuenheimer Feld 267, Heidelberg, Germany; Biochemistry Center (BZH), Heidelberg University, Im Neuenheimer Feld 328, Heidelberg, Germany.
  • Apic G; BioQuant, Heidelberg University, Im Neuenheimer Feld 267, Heidelberg, Germany; Biochemistry Center (BZH), Heidelberg University, Im Neuenheimer Feld 328, Heidelberg, Germany. Electronic address: https://twitter.com/GogaApic.
  • Russell RB; BioQuant, Heidelberg University, Im Neuenheimer Feld 267, Heidelberg, Germany; Biochemistry Center (BZH), Heidelberg University, Im Neuenheimer Feld 328, Heidelberg, Germany. Electronic address: robert.russell@bioquant.uni-heidelberg.de.
J Mol Biol ; 433(20): 167180, 2021 10 01.
Article em En | MEDLINE | ID: mdl-34358547
ABSTRACT
The need to make sense of the thousands of genetic variants uncovered every day in terms of pathology or biological mechanism is acute. Many insights into how genetic changes impact protein function can be gleaned if three-dimensional structures of the associated proteins are available. The availability of a highly accurate method of predicting structures from amino acid sequences (e.g. Alphafold2) is thus potentially a great boost to those wanting to understand genetic changes. In this paper we discuss the current state of protein structures known for the human and other proteomes and how Alphafold2 might impact on variant interpretation efforts. For the human proteome in particular, the state of the available structural data suggests that the impact on variant interpretation might be less than anticipated. We also discuss additional efforts in structure prediction that could further aid the understanding of genetic variants.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: J Mol Biol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: J Mol Biol Ano de publicação: 2021 Tipo de documento: Article