<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Otten R</submitter><funding>ETH Zürich Foundation</funding><funding>U.S. Department of Energy</funding><funding>Swiss National Science Foundation</funding><funding>Howard Hughes Medical Institute</funding><funding>BioXFEL Science and Technology Center</funding><funding>Damon Runyon Cancer Research Foundation</funding><funding>NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>1442-1446</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9616100</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>370(6523)</volume><pubmed_abstract>The advent of biocatalysts designed computationally and optimized by laboratory evolution provides an opportunity to explore molecular strategies for augmenting catalytic function. Applying a suite of nuclear magnetic resonance, crystallography, and stopped-flow techniques to an enzyme designed for an elementary proton transfer reaction, we show how directed evolution gradually altered the conformational ensemble of the protein scaffold to populate a narrow, highly active conformational ensemble and accelerate this transformation by nearly nine orders of magnitude. Mutations acquired during optimization enabled global conformational changes, including high-energy backbone rearrangements, that cooperatively organized the catalytic base and oxyanion stabilizer, thus perfecting transition-sta</pubmed_abstract><journal>Science (New York, N.Y.)</journal><pubmed_title>How directed evolution reshapes the energy landscape in an enzyme to boost catalysis.</pubmed_title><pmcid>PMC9616100</pmcid><funding_grant_id>P41 GM103393</funding_grant_id><funding_grant_id>1231306</funding_grant_id><funding_grant_id>DE-FG02-05ER15699</funding_grant_id><funding_grant_id>P30 GM124169</funding_grant_id><funding_grant_id>S10 OD021832</funding_grant_id><funding_grant_id>DRG-2114-12</funding_grant_id><funding_grant_id>T32 GM135126</funding_grant_id><pubmed_authors>Padua RAP</pubmed_authors><pubmed_authors>Nguyen V</pubmed_authors><pubmed_authors>Sui S</pubmed_authors><pubmed_authors>Cohen AE</pubmed_authors><pubmed_authors>Bunzel HA</pubmed_authors><pubmed_authors>Otten R</pubmed_authors><pubmed_authors>Kern D</pubmed_authors><pubmed_authors>Pitsawong W</pubmed_authors><pubmed_authors>Perry SL</pubmed_authors><pubmed_authors>Hilvert D</pubmed_authors><pubmed_authors>Patterson M</pubmed_authors></additional><is_claimable>false</is_claimable><name>How directed evolution reshapes the energy landscape in an enzyme to boost catalysis.</name><description>The advent of biocatalysts designed computationally and optimized by laboratory evolution provides an opportunity to explore molecular strategies for augmenting catalytic function. Applying a suite of nuclear magnetic resonance, crystallography, and stopped-flow techniques to an enzyme designed for an elementary proton transfer reaction, we show how directed evolution gradually altered the conformational ensemble of the protein scaffold to populate a narrow, highly active conformational ensemble and accelerate this transformation by nearly nine orders of magnitude. Mutations acquired during optimization enabled global conformational changes, including high-energy backbone rearrangements, that cooperatively organized the catalytic base and oxyanion stabilizer, thus perfecting transition-sta</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Dec</publication><modification>2026-05-28T00:37:10.12Z</modification><creation>2025-04-06T21:03:48.735Z</creation></dates><accession>S-EPMC9616100</accession><cross_references><pubmed>33214289</pubmed><doi>10.1126/science.abd3623</doi></cross_references></HashMap>