<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yu JL</submitter><funding>Biotechnological and Biological Research Council</funding><funding>Cancer Research UK</funding><funding>111 Project</funding><funding>National Natural Science Foundation of China</funding><funding>Biotechnology and Biological Sciences Research Council</funding><funding>Sichuan Science and Technology Program</funding><pagination>D593-D602</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9825548</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>51(D1)</volume><pubmed_abstract>Metalloenzymes are attractive research targets in fields of chemistry, biology, and medicine. Given that metalloenzymes can manifest conservation of metal-coordination and ligand binding modes, the excavation and expansion of metalloenzyme-specific knowledge is of interest in bridging metalloenzyme-related fields. Building on our previous metalloenzyme-ligand association database, MeLAD, we have expanded the scope of metalloenzyme-specific knowledge and services, by forming a versatile platform, termed the Metalloenzyme Data Bank and Analysis (MeDBA). The MeDBA provides: (i) manual curation of metalloenzymes into different categories, that this M-I, M-II and M-III; (ii) comprehensive information on metalloenzyme activities, expression profiles, family and disease links; (iii) structural in</pubmed_abstract><journal>Nucleic acids research</journal><pubmed_title>MeDBA: the Metalloenzyme Data Bank and Analysis platform.</pubmed_title><pmcid>PMC9825548</pmcid><funding_grant_id>2022YFH0027</funding_grant_id><funding_grant_id>BB/V003291/1</funding_grant_id><funding_grant_id>82073698</funding_grant_id><funding_grant_id>BB/V001892/1</funding_grant_id><funding_grant_id>B18035</funding_grant_id><funding_grant_id>82122065</funding_grant_id><funding_grant_id>81874291</funding_grant_id><pubmed_authors>Li GB</pubmed_authors><pubmed_authors>Dai QQ</pubmed_authors><pubmed_authors>Zhou C</pubmed_authors><pubmed_authors>Wu S</pubmed_authors><pubmed_authors>Yu JL</pubmed_authors><pubmed_authors>Schofield CJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>MeDBA: the Metalloenzyme Data Bank and Analysis platform.</name><description>Metalloenzymes are attractive research targets in fields of chemistry, biology, and medicine. Given that metalloenzymes can manifest conservation of metal-coordination and ligand binding modes, the excavation and expansion of metalloenzyme-specific knowledge is of interest in bridging metalloenzyme-related fields. Building on our previous metalloenzyme-ligand association database, MeLAD, we have expanded the scope of metalloenzyme-specific knowledge and services, by forming a versatile platform, termed the Metalloenzyme Data Bank and Analysis (MeDBA). The MeDBA provides: (i) manual curation of metalloenzymes into different categories, that this M-I, M-II and M-III; (ii) comprehensive information on metalloenzyme activities, expression profiles, family and disease links; (iii) structural in</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2026-05-27T11:04:30.904Z</modification><creation>2026-04-08T01:37:47.343Z</creation></dates><accession>S-EPMC9825548</accession><cross_references><pubmed>36243971</pubmed><doi>10.1093/nar/gkac860</doi></cross_references></HashMap>