4.3 Article

On the diversity of physicochemical environments experienced by identical ligands in binding pockets of unrelated proteins

期刊

PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
卷 78, 期 5, 页码 1120-1136

出版社

WILEY
DOI: 10.1002/prot.22633

关键词

molecular recognition; protein-ligand interaction; electrostatics; hydrophobicity; noncomplementarity; cognate ligand; protein function; redox potential

资金

  1. BioSapiens Network of Excellence [LHSG-CT-2003-503265]
  2. EMBL
  3. Biotechnology and Biological Sciences Research Council [BBS/E/J/000C0640] Funding Source: researchfish

向作者/读者索取更多资源

Most function prediction methods that identify cognate ligands from binding site analyses work on the assumption of molecular complementarity. These approaches build on the conjectured complementarity of geometrical and physicochemical properties between ligands and binding sites so that similar binding sites will bind similar ligands. We found that this assumption does not generally hold for protein-ligand interactions and observed that it is not the chemical composition of ligand molecules that dictates the complementarity between protein and ligand molecules, but that the ligand's share within the functional mechanism of a protein determines the degree of complementarity. Here, we present for a set of cognate ligands a descriptive analysis and comparison of the physicochemical properties that each ligand experiences in various nonhomologous binding pockets. The comparisons in each ligand set reveal large variations in their experienced physicochemical properties, suggesting that the same ligand can bind to distinct physicochemical environments. In some protein ligand complexes, the variation was found to correlate with the electrochemical characteristic of ligand molecules, whereas in others it was disclosed as a prerequisite for the biochemical function of the protein. To achieve binding, proteins were observed to engage in subtle balancing acts between electrostatic and hydrophobic interactions to generate stabilizing free energies of binding. For the presented analysis, a new method for scoring hydrophobicity from molecular environments was developed showing high correlations with experimental determined desolvation energies. The presented results highlight the complexities of molecular recognition and underline the challenges of computational structural biology in developing methods to detect these important subtleties.

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