ArticleNucleic acids research2017
mutLBSgeneDB: mutated ligand binding site gene DataBase.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 35 citations in OpenAlex.
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- Genomic landscape of drug binding and pharmacogenetic variation across diverse populations using SNPdrug3D.Nature communications · 2026Article
- DRESIS 2.0: the comprehensive landscape of drug resistance information.Nucleic acids research · 2026Article
- Hybrid protein-ligand binding residue prediction with protein language models: does the structure matter?Bioinformatics (Oxford, England) · 2025Article
- Predicting the pathogenicity of missense variants based on protein instability to support diagnosis of patients with novel variants of ARSL.Molecular genetics and metabolism reports · 2023Article
- PSnpBind-ML: predicting the effect of binding site mutations on protein-ligand binding affinity.Journal of cheminformatics · 2023Article
- Mutability of druggable kinases and pro-inflammatory cytokines by their proximity to telomeres and A+T content.PloS one · 2023Article
- Comprehensive Assessment of Indian Variations in the Druggable Kinome Landscape Highlights Distinct Insights at the Sequence, Structure and Pharmacogenomic Stratum.Frontiers in pharmacology · 2022Article
- PremPLI: a machine learning model for predicting the effects of missense mutations on protein-ligand interactions.Communications biology · 2021Article
- Structural and catalytic roles of the human 18The Journal of biological chemistry · 2020Article
- AlloDriver: a method for the identification and analysis of cancer driver targets.Nucleic acids research · 2019Article
- Protein interaction disruption in cancer.BMC cancer · 2019Article
- Mathematical modeling and computational prediction of cancer drug resistance.Briefings in bioinformatics · 2018Review
- Kinase impact assessment in the landscape of fusion genes that retain kinase domains: a pan-cancer study.Briefings in bioinformatics · 2018Article
- scRNASeqDB: A Database for RNA-Seq Based Gene Expression Profiles in Human Single Cells.Genes · 2017Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Mutations at the ligand binding sites (LBSs) can influence protein structure stability, binding affinity with small molecules, and drug resistance in cancer patients. Our recent analysis revealed that ligand binding residues had a significantly higher mutation rate than other parts of the protein. Here, we built mutLBSgeneDB (mutated Ligand Binding Site gene DataBase) available at http://zhaobioinfo.org/mutLBSgeneDB We collected and curated over 2300 genes (mutLBSgenes) having ∼12 000 somatic mutations at ∼10 000 LBSs across 16 cancer types and selected 744 drug targetable genes (targetable_mutLBSgenes) by incorporating kinases, transcription factors, pharmacological genes, and cancer driver genes. We analyzed LBS mutation information, differential gene expression network, drug response correlation with gene expression, and protein stability changes for all mutLBSgenes using integrated genetic, genomic, transcriptomic, proteomic, network and functional information. We calculated and compared the binding affinities of 20 carefully selected genes with their drugs in wild type and mutant forms. mutLBSgeneDB provides a user-friendly web interface for searching and browsing through seven categories of annotations: Gene summary, Mutated information, Protein structure related information, Differential gene expression and gene-gene network, Phenotype information, Pharmacological information, and Conservation information. mutLBSgeneDB provides a useful resource for functional genomics, protein structure, drug and disease research communities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.