Abstract

Hydrophobicity of proteins encoded in the genomes of diverse organisms was quantified using two novel concepts: (A) amino acid (AA) bulkiness-dependent hydrophobicity profiles and (B) spatial context of hydrophobicity distribution in AA triads. Both concepts were introduced into an algorithm that was used for extracting protein clusters from diverse genomic databases whose sequence attributes were similar to those in the multiple sequence alignment (MSA) of a given family of proteins. The sequences of the G protein-coupled receptors (GPCRs) encoded in different genomes were used as templates for testing the above concepts. The following sequence attributes were used for protein clustering: (A) sequence similarity scores (IDs); (B) amino acid composition (AAC); (C) hydrophobicity; (D) AA-bulkiness; and (E) alpha-helical propensity potentials. Diverse GPCRs display variable distributions of AA bulkiness-dependent buildups and declines in the hydrophobicity profiles that may be related to their function-dependent way of packing and allostery in the membrane. It is shown that intramolecular transversal nonbonded interactions between the TM segments in diverse GPCRs involve about 50% of hydrophobic atoms. Similar interaction networks exist between alpha-helices of tetratricopeptide (TPR) motifs-containing immunophilins and other proteins containing alpha-helical bundles.

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