Evgenii Ziaikin, Moran David, Sofya Uspenskaya, Masha Y Niv
{"title":"BitterDB: 2024 update on bitter ligands and taste receptors","authors":"Evgenii Ziaikin, Moran David, Sofya Uspenskaya, Masha Y Niv","doi":"10.1093/nar/gkae1044","DOIUrl":null,"url":null,"abstract":"BitterDB (http://bitterdb.agri.huji.ac.il) was introduced in 2012 as a central resource for information on bitter-tasting molecules and their receptors, and was updated in 2019. The information in BitterDB is used for tasks such as exploring the bitter chemical space, choosing suitable ligands for experimental studies, analyzing receptors’ selectivity and promiscuity, and developing machine learning predictors for taste. Here, we describe a major upgrade of the database, including significant increase in content as well as new features. BitterDB now holds over 2200 bitter molecules. For ∼700 molecules, at least one associated bitter taste receptor (TAS2R) is reported. The overall number of ligand-TAS2R associations is now close to 1800. BitterDB is extended to a total of 66 species (including dog, birds, fishes and primates). Following advances in computational structure prediction by AlphaFold and related methods, and the experimental determination of TAS2R structures by cryo-electron microscopy, BitterDB provides links to available structures of TAS2Rs.","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":"129 2 1","pages":""},"PeriodicalIF":16.6000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nucleic Acids Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/nar/gkae1044","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
BitterDB (http://bitterdb.agri.huji.ac.il) was introduced in 2012 as a central resource for information on bitter-tasting molecules and their receptors, and was updated in 2019. The information in BitterDB is used for tasks such as exploring the bitter chemical space, choosing suitable ligands for experimental studies, analyzing receptors’ selectivity and promiscuity, and developing machine learning predictors for taste. Here, we describe a major upgrade of the database, including significant increase in content as well as new features. BitterDB now holds over 2200 bitter molecules. For ∼700 molecules, at least one associated bitter taste receptor (TAS2R) is reported. The overall number of ligand-TAS2R associations is now close to 1800. BitterDB is extended to a total of 66 species (including dog, birds, fishes and primates). Following advances in computational structure prediction by AlphaFold and related methods, and the experimental determination of TAS2R structures by cryo-electron microscopy, BitterDB provides links to available structures of TAS2Rs.
期刊介绍:
Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.