Literature DB >> 33526682

Identifying hydrophobic protein patches to inform protein interaction interfaces.

Nicholas B Rego1, Erte Xi2, Amish J Patel3,2.   

Abstract

Interactions between proteins lie at the heart of numerous biological processes and are essential for the proper functioning of the cell. Although the importance of hydrophobic residues in driving protein interactions is universally accepted, a characterization of protein hydrophobicity, which informs its interactions, has remained elusive. The challenge lies in capturing the collective response of the protein hydration waters to the nanoscale chemical and topographical protein patterns, which determine protein hydrophobicity. To address this challenge, here, we employ specialized molecular simulations wherein water molecules are systematically displaced from the protein hydration shell; by identifying protein regions that relinquish their waters more readily than others, we are then able to uncover the most hydrophobic protein patches. Surprisingly, such patches contain a large fraction of polar/charged atoms and have chemical compositions that are similar to the more hydrophilic protein patches. Importantly, we also find a striking correspondence between the most hydrophobic protein patches and regions that mediate protein interactions. Our work thus establishes a computational framework for characterizing the emergent hydrophobicity of amphiphilic solutes, such as proteins, which display nanoscale heterogeneity, and for uncovering their interaction interfaces.

Entities:  

Keywords:  PPI; dewetting; hydration; hydrophobicity; proteins

Mesh:

Substances:

Year:  2021        PMID: 33526682      PMCID: PMC8018078          DOI: 10.1073/pnas.2018234118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  68 in total

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8.  Modulation of hydrophobic interactions by proximally immobilized ions.

Authors:  C Derek Ma; Chenxuan Wang; Claribel Acevedo-Vélez; Samuel H Gellman; Nicholas L Abbott
Journal:  Nature       Date:  2015-01-15       Impact factor: 49.962

Review 9.  Computational prediction of protein interfaces: A review of data driven methods.

Authors:  Li C Xue; Drena Dobbs; Alexandre M J J Bonvin; Vasant Honavar
Journal:  FEBS Lett       Date:  2015-10-13       Impact factor: 4.124

10.  NPPD: A Protein-Protein Docking Scoring Function Based on Dyadic Differences in Networks of Hydrophobic and Hydrophilic Amino Acid Residues.

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7.  Membrane hydrophobicity determines the activation free energy of passive lipid transport.

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  7 in total

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