Exploring DrugCentral: from molecular structures to clinical effects.
Bioactivity
Databases
Drug repurposing
Drug targets
Drugs
Pharmacology
Journal
Journal of computer-aided molecular design
ISSN: 1573-4951
Titre abrégé: J Comput Aided Mol Des
Pays: Netherlands
ID NLM: 8710425
Informations de publication
Date de publication:
12 2023
12 2023
Historique:
received:
25
04
2023
accepted:
14
08
2023
medline:
2
11
2023
pubmed:
14
9
2023
entrez:
14
9
2023
Statut:
ppublish
Résumé
DrugCentral, accessible at https://drugcentral.org , is an open-access online drug information repository. It covers over 4950 drugs, incorporating structural, physicochemical, and pharmacological details to support drug discovery, development, and repositioning. With around 20,000 bioactivity data points, manual curation enhances information from several major digital sources. Approximately 724 mechanism-of-action (MoA) targets offer updated drug target insights. The platform captures clinical data: over 14,300 on- and off-label uses, 27,000 contraindications, and around 340,000 adverse drug events from pharmacovigilance reports. DrugCentral encompasses information from molecular structures to marketed formulations, providing a comprehensive pharmaceutical reference. Users can easily navigate basic drug information and key features, making DrugCentral a versatile, unique resource. Furthermore, we present a use-case example where we utilize experimentally determined data from DrugCentral to support drug repurposing. A minimum activity threshold t should be considered against novel targets to repurpose a drug. Analyzing 1156 bioactivities for human MoA targets suggests a general threshold of 1 µM: t = 6 when expressed as - log[Activity(M)]). This applies to 87% of the drugs. Moreover, t can be refined empirically based on water solubility (S): t = 3 - logS, for logS < - 3. Alongside the drug repurposing classification scheme, which considers intellectual property rights, market exclusivity protections, and market accessibility, DrugCentral provides valuable data to prioritize candidates for drug repurposing programs efficiently.
Identifiants
pubmed: 37707619
doi: 10.1007/s10822-023-00529-x
pii: 10.1007/s10822-023-00529-x
pmc: PMC10692006
doi:
Types de publication
Journal Article
Review
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
681-694Subventions
Organisme : NCI NIH HHS
ID : U24 CA224370
Pays : United States
Organisme : NIH HHS
ID : U24 CA224370
Pays : United States
Commentaires et corrections
Type : ErratumIn
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
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