ArticleNucleic acids research2013
KIDFamMap: a database of kinase-inhibitor-disease family maps for kinase inhibitor selectivity and binding mechanisms.
Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 27 citations in OpenAlex.
- QM/MM Free Energy Calculations of IRE1 Reveal a Unique Protonation State of the Catalytic Lys599.Journal of computational chemistry · 2025Article
- Article
- Exploring kinase family inhibitors and their moiety preferences using deep SHapley additive exPlanations.BMC bioinformatics · 2022Article
- Biomolecule and Bioentity Interaction Databases in Systems Biology: A Comprehensive Review.Biomolecules · 2021Review
- KinaseMD: kinase mutations and drug response database.Nucleic acids research · 2021Article
- Using phosphoproteomics data to understand cellular signaling: a comprehensive guide to bioinformatics resources.Clinical proteomics · 2020Review
- Defining a new nomenclature for the structures of active and inactive kinases.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- PTMD: A Database of Human Disease-associated Post-translational Modifications.Genomics, proteomics & bioinformatics · 2018Article
- KLIFS: a structural kinase-ligand interaction database.Nucleic acids research · 2016Article
- Conformational analysis of the DFG-out kinase motif and biochemical profiling of structurally validated type II inhibitors.Journal of medicinal chemistry · 2015Article
- Computational methods for analysis and inference of kinase/inhibitor relationships.Frontiers in genetics · 2014Review
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7 authors at 1 institution in 1 country.
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Abstract
Kinases play central roles in signaling pathways and are promising therapeutic targets for many diseases. Designing selective kinase inhibitors is an emergent and challenging task, because kinases share an evolutionary conserved ATP-binding site. KIDFamMap (http://gemdock.life.nctu.edu.tw/KIDFamMap/) is the first database to explore kinase-inhibitor families (KIFs) and kinase-inhibitor-disease (KID) relationships for kinase inhibitor selectivity and mechanisms. This database includes 1208 KIFs, 962 KIDs, 55 603 kinase-inhibitor interactions (KIIs), 35 788 kinase inhibitors, 399 human protein kinases, 339 diseases and 638 disease allelic variants. Here, a KIF can be defined as follows: (i) the kinases in the KIF with significant sequence similarity, (ii) the inhibitors in the KIF with significant topology similarity and (iii) the KIIs in the KIF with significant interaction similarity. The KIIs within a KIF are often conserved on some consensus KIDFamMap anchors, which represent conserved interactions between the kinase subsites and consensus moieties of their inhibitors. Our experimental results reveal that the members of a KIF often possess similar inhibition profiles. The KIDFamMap anchors can reflect kinase conformations types, kinase functions and kinase inhibitor selectivity. We believe that KIDFamMap provides biological insights into kinase inhibitor selectivity and binding mechanisms.
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