Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

COVID-CDR

General information

URL: https://unsw-data-analytics.shinyapps.io/COVID_CombTherap/
Full name:
Description: COVID-CDR 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.
Year founded: 2021
Last update:
Version:
Accessibility:
Accessible
Country/Region: Saudi Arabia

Contact information

University/Institution: Imam Mohammad Ibn Saud Islamic University (IMSIU)
Address: Advanced Data and Network Science Lab, Department of Mathematics & Statistics, Faculty of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 13318, Saudi Arabia
City: Riyad
Province/State: Riyadh
Country/Region: Saudi Arabia
Contact name (PI/Team): AKM Azad
Contact email (PI/Helpdesk): savilbd@gmail.com

Publications

34278363
Integrative resource for network-based investigation of COVID-19 combinatorial drug repositioning and mechanism of action. [PMID: 34278363]
A K M Azad, Shadma Fatima, Alexander Capraro, Shafagh A Waters, Fatemeh Vafaee

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 investigation of combination therapies for treating COVID-19 at the fingertips of the clinicians and researchers.

Patterns (N Y). 2021:2(9) | 5 Citations (from Europe PMC, 2026-03-28)

Ranking

All databases:
5120/6932 (26.154%)
Interaction:
926/1200 (22.917%)
Health and medicine:
1265/1755 (27.977%)
5120
Total Rank
5
Citations
1
z-index

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Not Rated
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Record metadata

Created on: 2022-04-18
Curated by:
AKM Azad [2025-09-03]
Yuxin Qin [2023-09-18]
Lin Liu [2022-08-16]
Lina Ma [2022-06-01]
Lin Liu [2022-05-31]
Lin Liu [2022-05-30]
Lin Liu [2022-05-23]
Jing Wei [2022-04-18]