Exploring DrugCentral: from molecular structures to clinical effects.


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
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

681-694

Subventions

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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Auteurs

Liliana Halip (L)

Department of Computational Chemistry, "Coriolan Dragulescu" Institute of Chemistry, Timisoara, Romania.

Sorin Avram (S)

Department of Computational Chemistry, "Coriolan Dragulescu" Institute of Chemistry, Timisoara, Romania.

Ramona Curpan (R)

Department of Computational Chemistry, "Coriolan Dragulescu" Institute of Chemistry, Timisoara, Romania.

Ana Borota (A)

Department of Computational Chemistry, "Coriolan Dragulescu" Institute of Chemistry, Timisoara, Romania.

Alina Bora (A)

Department of Computational Chemistry, "Coriolan Dragulescu" Institute of Chemistry, Timisoara, Romania.

Cristian Bologa (C)

Translational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA.

Tudor I Oprea (TI)

Translational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA. toprea@salud.unm.edu.
Expert Systems Inc, San Diego, CA, USA. toprea@salud.unm.edu.

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