Evidence map›Paper›PMID 34212286›Full record

ArticleApplied biochemistry and biotechnology2021

Macrolactin A as a Novel Inhibitory Agent for SARS-CoV-2 M

Kaushik Kumar Bharadwaj, Tanmay Sarkar, Arabinda Ghosh, Debabrat Baishya, Bijuli Rabha, Manasa Kumar Panda, Bryan Raveen Nelson, Akbar B John, Hassan I Sheikh, Bisnu Prasad Dash and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Applied biochemistry and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 41 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

12 authors at 6 institutions in 2 countries.

Kaushik Kumar Bharadwaj *Department of Bioengineering and Technology, Gauhati University, Guwahati, Assam, 781014, India.
Tanmay Sarkar *Malda Polytechnic, West Bengal State Council of Technical Education, Govt. of West Bengal, Malda, West Bengal, 732102, India.
Arabinda GhoshMicrobiology Division, Department of Botany, Gauhati University, Guwahati, Assam, ,781014, India.
Debabrat BaishyaDepartment of Bioengineering and Technology, Gauhati University, Guwahati, Assam, 781014, India.
Bijuli RabhaDepartment of Bioengineering and Technology, Gauhati University, Guwahati, Assam, 781014, India.
Manasa Kumar PandaEnvironment and Sustainability Department, CSIR-Institute of Minerals and Materials Technology, 751013, Bhubaneswar, India.
Bryan Raveen NelsonInstitute of Tropical Biodiversity and Sustainable Development, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.
Akbar B JohnINOCEM Research Station, Kulliyyah of Science, International Islamic University Malaysia (IIUM), 25200, Kuantan, Pahang, Malaysia.
Hassan I SheikhFaculty of Fisheries and Food Science, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.
Bisnu Prasad DashDepartment of Biosciences and Biotechnology, Fakir Mohan University, 756089, Balasore, India.
Hisham Atan EdinurForensic Science Programme, School of Health Sciences, University Sains Malaysia, Health Campus, 16150, Kubang Kerian, Kelantan, Malaysia.
Siddhartha PatiResearch Divisions, Association for Biodiversity Conservation and Research, Balasore, Odisha, 756001, India. patisiddhartha@gmail.com.ORCID http://orcid.org/0000-0002-8276-0008
Gauhati University · INFakir Mohan University · INUniversiti Malaysia Terengganu · MYInstitute of Minerals and Materials Technology · INInternational Islamic University Malaysia · MYJadavpur University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is a disease that puts most of the world on lockdown and the search for therapeutic drugs is still ongoing. Therefore, this study used in silico screening to identify natural bioactive compounds from fruits, herbaceous plants, and marine invertebrates that are able to inhibit protease activity in SARS-CoV-2 (PDB: 6LU7). We have used extensive screening strategies such as drug likeliness, antiviral activity value prediction, molecular docking, ADME, molecular dynamics (MD) simulation, and MM/GBSA. A total of 17 compounds were shortlisted using Lipinski's rule in which 5 compounds showed significant predicted antiviral activity values. Among these 5, only 2 compounds, Macrolactin A and Stachyflin, showed good binding energy of -9.22 and -8.00 kcal/mol, respectively, within the binding pocket of the M

Indexed as

Coronavirus 3C ProteasesMolecular Docking SimulationCysteine Proteinase InhibitorsHumansMacrolidesSARS-CoV-2Coronavirus 3C ProteasesCysteine Proteinase Inhibitorsmacrolactin AMacrolidesADMETCoronavirusMD simulationMM/GBSAMolecular dockingTreatment

Identifiers

PMID34212286
PMCPMC8248955
OpenAlexW3175124992

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.