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Electrostatic potential as a reactivity scoring function in computer-assisted enzyme engineering Vega, Aitor Planas, Antoni Biarnés, Xevi Universitat Ramon Llull. IQS Binding affinity Computational protein engineering Electrostatic potential Glycoside hydrolases Tansglycosylation Biologia computacional Enzims Electroestàtica Glicòsids 537 54 The high catalytic efficiency of enzymes is attained, in part, by their capacity to stabilize electrostatically the transition state of the chemical reaction. High-throughput protocols for measuring this electrostatic contribution in computer-assisted enzyme design are limited. We present here an easy-to-compute metric that captures the electrostatic complementarity of the enzyme to the charge distribution of the substrate at the transition state. We demonstrate such a complementarity for a representative dataset of glycoside hydrolases, a large family of enzymes responsible for the hydrolytic cleavage of glycosidic bonds in oligosaccharides, polysaccharides, and glycoconjugates. We have implemented this metric in BindScan, a computer-based mutational analysis protocol to assist protein engineering. We demonstrate the predictive power of BindScan with this metric for two mechanistically distinct glycoside hydrolases: Spodoptera frugiperda β-glucosidase (Sfβgly, operates via protein nucleophile catalysis) and Bifidobacterium bifidum lacto-N-biosidase (BbLnbB, operates via substrate-assisted catalysis). The metric correctly predicts sequence positions sensible to the modulation of kcat/KM upon mutation from an experimental benchmark of 51 mutants of Sfβgly with 77% classification efficiency and identifies variants of BbLnbB with improved transglycosylation yields (up to 32%). Based on electrostatic potential and ligand affinity calculations, as implemented in BindScan, we propose a rational strategy to design glycoside hydrolase variants with improved transglycosylation efficiency for the synthesis of added-value glycoconjugates. The new reactivity metric may contribute to expanding the range of computational protocols available to assist enzyme engineering campaigns aimed at optimizing mechanistically relevant properties. info:eu-repo/semantics/publishedVersion 2025-08 info:eu-repo/semantics/article 1742-4658 http://hdl.handle.net/20.500.14342/5498 https://doi.org/10.1111/febs.70121 eng The FEBS Journal 2025, 292 (16), 4211-4231 info:eu-repo/grantAgreement/MCI/PN I+D/PID2019-104350RB-I00 info:eu-repo/grantAgreement/MCI/PN I+D/PID2022-138252OB-I00 info:eu-repo/grantAgreement/URL i La Caixa/Projectes recerca PDI/2020-URL-Proj-052 © L'autor/a Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess p.21 Wiley