<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Xi K</submitter><funding>Warshel Institute for Computational Biology</funding><funding>National Science Foundation of China</funding><funding>Shenzhen Fundamental Research Fund</funding><funding>Shenzhen-Hong Kong Cooperation Zone for Technology and Innovation</funding><funding>the National Science Foundation of China</funding><pagination>14628</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9736071</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(23)</volume><pubmed_abstract>Bacteriophage T4 lysozyme (T4L) is a glycosidase that is widely applied as a natural antimicrobial agent in the food industry. Due to its wide applications and small size, T4L has been regarded as a model system for understanding protein dynamics and for large-scale protein engineering. Through structural insights from the single conformation of T4L, a series of mutations (L99A,G113A,R119P) have been introduced, which have successfully raised the fractional population of its only hydrolysis-competent excited state to 96%. However, the actual impact of these substitutions on its dynamics remains unclear, largely due to the lack of highly efficient sampling algorithms. Here, using our recently developed travelling-salesman-based automated path searching (TAPS), we located the minimum-free-en</pubmed_abstract><journal>International journal of molecular sciences</journal><pubmed_title>Automated Path Searching Reveals the Mechanism of Hydrolysis Enhancement by T4 Lysozyme Mutants.</pubmed_title><pmcid>PMC9736071</pmcid><funding_grant_id>31971179</funding_grant_id><funding_grant_id>JCYJ20200109150003938</funding_grant_id><funding_grant_id>HZQB-KCZYB-2020056</funding_grant_id><funding_grant_id>RCYX20200714114645019</funding_grant_id><pubmed_authors>Xi K</pubmed_authors><pubmed_authors>Zhu L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Automated Path Searching Reveals the Mechanism of Hydrolysis Enhancement by T4 Lysozyme Mutants.</name><description>Bacteriophage T4 lysozyme (T4L) is a glycosidase that is widely applied as a natural antimicrobial agent in the food industry. Due to its wide applications and small size, T4L has been regarded as a model system for understanding protein dynamics and for large-scale protein engineering. Through structural insights from the single conformation of T4L, a series of mutations (L99A,G113A,R119P) have been introduced, which have successfully raised the fractional population of its only hydrolysis-competent excited state to 96%. However, the actual impact of these substitutions on its dynamics remains unclear, largely due to the lack of highly efficient sampling algorithms. Here, using our recently developed travelling-salesman-based automated path searching (TAPS), we located the minimum-free-en</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Nov</publication><modification>2026-04-08T14:25:58.118Z</modification><creation>2025-04-04T23:37:09.431Z</creation></dates><accession>S-EPMC9736071</accession><cross_references><pubmed>36498954</pubmed><doi>10.3390/ijms232314628</doi></cross_references></HashMap>