Evidence map›Paper›PMID 34455072›Full record

ArticleMethods (San Diego, Calif.)2022

Drug repurposing for COVID-19 using computational screening: Is Fostamatinib/R406 a potential candidate?

Sovan Saha, Anup Kumar Halder, Soumyendu Sekhar Bandyopadhyay, Piyali Chatterjee, Mita Nasipuri, Debdas Bose, Subhadip Basu

Open access · greenAbstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Sovan SahaDepartment of Computer Science & Engineering, Institute of Engineering & Management, Salt Lake Electronics Complex, Kolkata 700091, West Bengal, India. Electronic address: sovansaha12@gmail.com.
Anup Kumar HalderDepartment of Computer Science & Engineering, University of Engineering & Management, Kolkata 700156, West Bengal, India; Department of Computer Science & Engineering, Jadavpur University, Jadavpur, Kolkata, West Bengal 700032, India. Electronic address: anup21.halder@gmail.com.
Soumyendu Sekhar BandyopadhyayDepartment of Computer Science & Engineering, School of Engineering and Technology, Adamas University, Kolkata 700126, West Bengal, India. Electronic address: soumyabane@gmail.com.
Piyali ChatterjeeDepartment of Computer Science & Engineering, Netaji Subhash Engineering College, Garia, Kolkata, West Bengal 700152, India. Electronic address: piyali.gini@gmail.com.
Mita NasipuriDepartment of Computer Science & Engineering, Jadavpur University, Jadavpur, Kolkata, West Bengal 700032, India. Electronic address: mitanasipuri@gmail.com.
Debdas BoseInstitute of Hematology and Transfusion Medicine, Medical College Hospital, Kolkata 700073, India. Electronic address: debdasbose@gmail.com.
Subhadip BasuDepartment of Computer Science & Engineering, Jadavpur University, Jadavpur, Kolkata, West Bengal 700032, India. Electronic address: subhadip.basu@jadavpuruniversity.in.
Jadavpur University · INAdamas University · INMedical College and Hospital, Kolkata · INUniversity of Engineering & Management · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the gradual increase in the COVID-19 mortality rate, there is an urgent need for an effective drug/vaccine. Several drugs like Remdesivir, Azithromycin, Favirapir, Ritonavir, Darunavir, etc., are put under evaluation in more than 300 clinical trials to treat COVID-19. On the other hand, several vaccines like Pfizer-BioNTech, Moderna, Johnson & Johnson's Janssen, Sputnik V, Covishield, Covaxin, etc., also evolved from the research study. While few of them already gets approved, others show encouraging results and are still under assessment. In parallel, there are also significant developments in new drug development. But, since the approval of new molecules takes substantial time, drug repurposing studies have also gained considerable momentum. The primary agent of the disease progression of COVID-19 is SARS-CoV2/nCoV, which is believed to have ~89% genetic resemblance with SARS-CoV, a coronavirus responsible for the massive outbreak in 2003. With this hypothesis, Human-SARS-CoV protein interactions are used to develop an in-silico Human-nCoV network by identifying potential COVID-19 human spreader proteins by applying the SIS model and fuzzy thresholding by a possible COVID-19 FDA drugs target-based validation. At first, the complete list of FDA drugs is identified for the level-1 and level-2 spreader proteins in this network, followed by applying a drug consensus scoring strategy. The same consensus strategy is involved in the second analysis but on a curated overlapping set of key genes/proteins identified from COVID-19 symptoms. Validation using subsequent docking study has also been performed on COVID-19 potential drugs with the available major COVID-19 crystal structures whose PDB IDs are: 6LU7, 6M2Q, 6W9C, 6M0J, 6M71 and 6VXX. Our computational study and docking results suggest that Fostamatinib (R406 as its active promoiety) may also be considered as one of the potential candidates for further clinical trials in pursuit to counter the spread of COVID-19.

Indexed as

COVID-19 Drug TreatmentDrug RepositioningAminopyridinesAntiviral AgentsChAdOx1 nCoV-19HumansMolecular Docking SimulationMorpholinesPyrimidinesRNA, ViralSARS-CoV-2AminopyridinesAntiviral AgentsChAdOx1 nCoV-19fostamatinibMorpholinesPyrimidinesRNA, ViralCOVID-19COVID-19 symptom analysisDrug repurposingFostamatinib/R406Molecular dockingnCoV-Human PPIN

Identifiers

PMID34455072
PMCPMC8390099
OpenAlexW3196351118

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.