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How sticky are our proteins? Quantifying hydrophobicity of the human proteome.
van Gils, Juami Hermine Mariama; Gogishvili, Dea; van Eck, Jan; Bouwmeester, Robbin; van Dijk, Erik; Abeln, Sanne.
Afiliação
  • van Gils JHM; Computer Science Department, Center for Integrative Bioinformatics (IBIVU), Vrije Universiteit Amsterdam, 1081 HV Noord-Holland, The Netherlands.
  • Gogishvili D; Computer Science Department, Center for Integrative Bioinformatics (IBIVU), Vrije Universiteit Amsterdam, 1081 HV Noord-Holland, The Netherlands.
  • van Eck J; Computer Science Department, Center for Integrative Bioinformatics (IBIVU), Vrije Universiteit Amsterdam, 1081 HV Noord-Holland, The Netherlands.
  • Bouwmeester R; Computer Science Department, Center for Integrative Bioinformatics (IBIVU), Vrije Universiteit Amsterdam, 1081 HV Noord-Holland, The Netherlands.
  • van Dijk E; Computer Science Department, Center for Integrative Bioinformatics (IBIVU), Vrije Universiteit Amsterdam, 1081 HV Noord-Holland, The Netherlands.
  • Abeln S; Computer Science Department, Center for Integrative Bioinformatics (IBIVU), Vrije Universiteit Amsterdam, 1081 HV Noord-Holland, The Netherlands.
Bioinform Adv ; 2(1): vbac002, 2022.
Article em En | MEDLINE | ID: mdl-36699344
ABSTRACT

Summary:

Proteins tend to bury hydrophobic residues inside their core during the folding process to provide stability to the protein structure and to prevent aggregation. Nevertheless, proteins do expose some 'sticky' hydrophobic residues to the solvent. These residues can play an important functional role, e.g. in protein-protein and membrane interactions. Here, we first investigate how hydrophobic protein surfaces are by providing three measures for surface hydrophobicity the total hydrophobic surface area, the relative hydrophobic surface area and-using our MolPatch method-the largest hydrophobic patch. Secondly, we analyze how difficult it is to predict these measures from sequence by adapting solvent accessibility predictions from NetSurfP2.0, we obtain well-performing prediction methods for the THSA and RHSA, while predicting LHP is more challenging. Finally, we analyze implications of exposed hydrophobic surfaces we show that hydrophobic proteins typically have low expression, suggesting cells avoid an overabundance of sticky proteins. Availability and implementation The data underlying this article are available in GitHub at https//github.com/ibivu/hydrophobic_patches. Supplementary information Supplementary data are available at Bioinformatics Advances online.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article