Integrative resource for network-based investigation of COVID-19 combinatorial drug repositioning and mechanism of action.

COVID-19 PPI SARS-CoV-2 combination therapy complementary exposure drug repositioning drug targets mechanisms of action network pharmacology protein-protein interaction

Journal

Patterns (New York, N.Y.)
ISSN: 2666-3899
Titre abrégé: Patterns (N Y)
Pays: United States
ID NLM: 101767765

Informations de publication

Date de publication:
10 Sep 2021
Historique:
received: 20 03 2021
revised: 12 04 2021
accepted: 12 07 2021
pubmed: 20 7 2021
medline: 20 7 2021
entrez: 19 7 2021
Statut: ppublish

Résumé

An effective monotherapy to target the complex and multifactorial pathology of SARS-CoV-2 infection poses a challenge to drug repositioning, which can be improved by combination therapy. We developed an online network pharmacology-based drug repositioning platform, COVID-CDR (http://vafaeelab.com/COVID19repositioning.html), that enables a visual and quantitative investigation of the interplay between the primary drug targets and the SARS-CoV-2-host interactome in the human protein-protein interaction network. COVID-CDR prioritizes drug combinations with potential to act synergistically through different, yet potentially complementary, pathways. It provides the options for understanding multi-evidence drug-pair similarity scores along with several other relevant information on individual drugs or drug pairs. Overall, COVID-CDR is a first-of-its-kind online platform that provides a systematic approach for pre-clinical

Identifiants

pubmed: 34278363
doi: 10.1016/j.patter.2021.100325
pii: S2666-3899(21)00173-2
pmc: PMC8277549
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100325

Informations de copyright

© 2021 The Authors.

Déclaration de conflit d'intérêts

F.V. is a member of Patterns journal advisory board. The authors declare no other competing interests.

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Auteurs

A K M Azad (AKM)

School of Biotechnology and Biomolecular Sciences, University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia.

Shadma Fatima (S)

School of Biotechnology and Biomolecular Sciences, University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia.
Department of Medical Oncology, Ingham Institute of Applied Research, Sydney, Australia.

Alexander Capraro (A)

School of Women's and Children's Health, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia.
Molecular and Integrative Cystic Fibrosis Research Centre, UNSW Sydney and Sydney Children's Hospital, Sydney, Australia.

Shafagh A Waters (SA)

School of Women's and Children's Health, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia.
Molecular and Integrative Cystic Fibrosis Research Centre, UNSW Sydney and Sydney Children's Hospital, Sydney, Australia.
Department of Respiratory Medicine, Sydney Children's Hospital, Sydney, NSW, Australia.

Fatemeh Vafaee (F)

School of Biotechnology and Biomolecular Sciences, University of New South Wales (UNSW Sydney), Sydney, NSW 2052, Australia.
Data Science Hub, University of New South Wales, Kensington, NSW, Australia.

Classifications MeSH