MultiTargetDB: a comprehensive database of multitarget ligands for polypharmacology research and drug discovery

Multitarget drug discovery has gained considerable traction in recent years, particularly for the treatment of complex diseases. Despite the growing demand for dedicated, well-curated resources to advance polypharmacology research and rational multitarget drug discovery, such resources remain severely limited. Here, we present MultiTargetDB, a database of multitarget ligands integrated with comprehensive biological annotations and measurement-level provenance. At the small molecule level, MultiTargetDB integrates chemical structures (including molecular scaffolds), their drug development stages, and target information, whereas at the target level, MultiTargetDB incorporates protein domains and families, functional associations, and pathway-disease annotations. The current release contains 173 977 multitarget molecules, 6496 protein targets, and 474 749 standardized quantitative bioactivity records, complemented by 46 234 high-confidence protein functional associations, 370 pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG), and 2493 diseases. MultiTargetDB supports multitarget ligand retrieval, target-combination analysis, quantitative activity profiling, inspection of source-level evidence, and biological interpretation of molecule-target-pathway-disease relationships, with a natural-language query assistant facilitating flexible database exploration. The integrated quantitative, pharmacological and biological data further provide a basis for drug-repurposing exploration, computational modeling, and machine-learning applications. MultiTargetDB v1.0 is freely accessible at https://multitargetdb.inflygent.com/.

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Publication Details

Journal
Nucleic Acids Research
Published
2026-10-31
DOI
https://doi.org/10.1093/nar/gkag1097
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

MultiTargetDB: a comprehensive database of multitarget ligands for polypharmacology research and drug discovery

Jianfeng Pei, Haoyu Lin, Luhua Lai, Liangli Hong et al.
Nucleic Acids Research
Computational Drug Discovery Methods
article

MultiTargetDB: a comprehensive database of multitarget ligands for polypharmacology research and drug discovery

Jianfeng Pei, Haoyu Lin, Luhua Lai, Liangli Hong, Geng Dong, Weixin Xie, Jinmei Pan, Jin Xie, Shuaipeng Zhang, Jintao Zhu, Yu Li
article en

Abstract

Multitarget drug discovery has gained considerable traction in recent years, particularly for the treatment of complex diseases. Despite the growing demand for dedicated, well-curated resources to advance polypharmacology research and rational multitarget drug discovery, such resources remain severely limited. Here, we present MultiTargetDB, a database of multitarget ligands integrated with comprehensive biological annotations and measurement-level provenance. At the small molecule level, MultiTargetDB integrates chemical structures (including molecular scaffolds), their drug development stages, and target information, whereas at the target level, MultiTargetDB incorporates protein domains and families, functional associations, and pathway-disease annotations. The current release contains 173 977 multitarget molecules, 6496 protein targets, and 474 749 standardized quantitative bioactivity records, complemented by 46 234 high-confidence protein functional associations, 370 pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG), and 2493 diseases. MultiTargetDB supports multitarget ligand retrieval, target-combination analysis, quantitative activity profiling, inspection of source-level evidence, and biological interpretation of molecule-target-pathway-disease relationships, with a natural-language query assistant facilitating flexible database exploration. The integrated quantitative, pharmacological and biological data further provide a basis for drug-repurposing exploration, computational modeling, and machine-learning applications. MultiTargetDB v1.0 is freely accessible at https://multitargetdb.inflygent.com/.

Nucleic Acids Research
Peking University (CN), First Affiliated Hospital of Shantou University Medical College (CN), Center for Life Sciences (CN), Fuzhou University (CN)
Openalex Percentile: Top 14%
Computational Drug Discovery Methods
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