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Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Med+Chem+Res 2020 ; 29 (7): 1133-1146 Nephropedia Template TP
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Rheostat positions: A new classification of protein positions relevant to pharmacogenomics #MMPMID32641900
Fenton AW; Page BM; Spellman-Kruse A; Hagenbuch B; Swint-Kruse L
Med Chem Res 2020[Jul]; 29 (7): 1133-1146 PMID32641900show ga
To achieve the full potential of pharmacogenomics, one must accurately predict the functional out comes that arise from amino acid substitutions in proteins. Classically, researchers have focused on understanding the consequences of individual substitutions. However, literature surveys have shown that most substitutions were created at evolutionarily conserved positions. Awareness of this bias leads to a shift in perspective, from considering the outcomes of individual substitutions to understanding the roles of individual protein positions. Conserved positions tend to act as "toggle" switches, with most substitutions abolishing function. However, nonconserved positions have been found equally capable of affecting protein function. Indeed, many nonconserved positions act like functional dimmer switches ("rheostat" positions): This is revealed when multiple substitutions are made at a single position. Each substitution has a different functional outcome; the set of substitutions spans arange of outcomes. Finally, some nonconserved positions appear neutral, capable of accommodating all amino acid types without modifying function. This manuscript reviews the currently-known properties of rheost at positions, with examples shown for pyruvate kinase, organic anion transporting polypeptide 1B1, the beta-lactamase inhibitory protein, and angiotensin-converting enzyme 2. Outcomes observed for rheostat positions have implications for the rational design of drug analogs and allosteric drugs. Furthermore, this new framework - comprising three types of protein positions - provides a new approach to interpreting disease and population-based databases of amino acid changes. In conclusion, although a full understanding of substitution out comes at rheostat positions poses a challenge, utilization of this new frame of reference will further advance the application of pharmacogenomics.