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Rate-Perturbing Single Amino Acid Mutation for Hydrolases: A Statistical Profiling

Bailu Yan, Xinchun Ran, Yaoyukun Jiang, Sarah K. Torrence, Yuan Li, Qianzhen Shao, Zhongyue Yang

2021The Journal of Physical Chemistry B21 citationsDOI

Abstract

), with a particular emphasis on profiling the features for rate-enhancing mutations. The results show that mutation to bulky nonpolar residues with a hydrocarbon chain involves a higher likelihood for rate acceleration than to other types of residues. Linear regression models reveal geometric descriptors of substrate and mutation residues that mediate rate-perturbing outcomes for hydrolases with bulky nonpolar mutations. On the basis of the analyses of the structure-kinetics relationship, we observe that the propensity for rate enhancement is independent of protein sizes. In addition, we observe that distal mutations (i.e., >10 Å from the active site) in hydrolases are significantly more prone to induce efficiency neutrality and avoid efficiency deletion but involve similar propensity for rate enhancement. The studies reveal the statistical features for identifying rate-enhancing mutations in hydrolases, which will potentially guide hydrolase discovery in biocatalysis.

Topics & Concepts

Enzyme kineticsAmino acid residueMutantComputational biologyChemistryMutation rateKineticsNeutralityAmino acidCatalytic efficiencyProtein Data BankDocking (animal)Profiling (computer programming)BiochemistryProtein structureComputer scienceActive siteBiologyCatalysisPeptide sequencePhysicsGeneMedicineNursingQuantum mechanicsEpistemologyOperating systemPhilosophyProtein Structure and DynamicsEnzyme Catalysis and ImmobilizationMachine Learning in Materials Science
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