Evidence map›Paper›PMID 37861016›Full record

ArticleCurrent drug discovery technologies2024

V Alagarsamy, V Raja Solomon, S Murugesan, P Shyam Sundar, M D Muzaffar-Ur-Rehman, A Chandu, A Dharshini Aishwarya, B Narendhar, M T Sulthana, V Ravikumar

Abstract read
PubMed Publisher
In one paragraph

Article in Current drug discovery technologies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Scientifica · 2026
    Article
  2. Medicinal chemistry (Shariqah (United Arab Emirates)) · 2025
    Article
  3. Article
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

10 authors at 2 institutions in 1 country.

V AlagarsamyMedicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy, Gr. Hyderabad, 502 294, India.
V Raja SolomonMedicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy, Gr. Hyderabad, 502 294, India.
S MurugesanDepartment of Pharmacy, BITS Pilani, Pilani Campus, Pilani, 333031, India.
P Shyam SundarMedicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy, Gr. Hyderabad, 502 294, India.
M D Muzaffar-Ur-RehmanDepartment of Pharmacy, BITS Pilani, Pilani Campus, Pilani-333031, India.
A ChanduDepartment of Pharmacy, BITS Pilani, Pilani Campus, Pilani, 333031, India.
A Dharshini AishwaryaMedicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy, Gr. Hyderabad, 502 294, India.
B NarendharMedicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy, Gr. Hyderabad, 502 294, India.
M T SulthanaMedicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy, Gr. Hyderabad, 502 294, India.
V RavikumarMedicinal Chemistry Research Laboratory, MNR College of Pharmacy, Sangareddy - 502 294, Gr. Hyderabad, India.
MNR Medical College and Hospital · INBirla Institute of Technology and Science, Pilani · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are very few small-molecule drug candidates developed against SARS-CoV-2 that have been revealed since the epidemic began in November 2019. The typical medicinal chemistry discovery approach requires more than a decade of the year of painstaking research and development and a significant financial guarantee, which is not feasible in the challenge of the current epidemic.

objectiveThis current study proposes to find and identify the most effective and promising phytomolecules against SARS-CoV-2 in six essential proteins (3CL protease, Main protease, Papain- Like protease, N-protein RNA binding domain, RNA-dependent RNA polymerase, and Spike receptor binding domain target through

methodsThe phytomolecules and SARS-CoV-2 proteins were taken from public domain databases such as PubChem and RCSB Protein Data Bank. For

resultsThe structure-based molecular docking reveals some molecules' greater affinity towards the target than the co-crystal ligand. Our results show that tannic acid, cyanidin-3-rutinoside, zeaxanthin, and carbolactone are phytomolecules capable of inhibiting SARS-CoV-2 target proteins in the least energy conformations. Tannic acid had the least binding energy of -8.8 kcal/mol, which is better than the binding energy of its corresponding co-crystal ligand (-7.5 kcal/mol) against 3 CL protease. Also, it has shown the least binding energy of -9.9 kcal/mol with a more significant number of conventional hydrogen bond interactions against the RdRp target. Cyanidin-3-rutinoside showed binding energy values of -8.8 and -7.6 kcal/mol against Main protease and Papain-like protease, respectively. Zeaxanthin was the top candidate in the N protein RBD with a binding score of - 8.4 kcal/mol, which is slightly better when compared to a co-crystal ligand (-8.2 kcal/mol). In the spike, carbolactone was the suitable candidate with the binding energy of -7.2 kcal/mol and formed a conventional hydrogen bond and two hydrophobic interactions. The best binding affinity-scored phytomolecules were selected for the MD simulations studies.

conclusionThe present in silico screening study suggested that active phytomolecules from medicinal plants could inhibit SARS-CoV-2 targets. The elite docked compounds with drug-like properties have a harmless ADMET profile, which may help to develop promising COVID-19 inhibitors.

Indexed as

Antiviral AgentsCoronavirus 3C ProteasesMolecular Docking SimulationPhytochemicalsSARS-CoV-2Computer SimulationCoronavirus Papain-Like ProteasesCOVID-19 Drug TreatmentHumans3C-like proteinase, SARS-CoV-2Antiviral AgentsCoronavirus 3C ProteasesCoronavirus Papain-Like ProteasesPhytochemicalsADMET.COVID-19MD simulationmedicinal plantsmolecular dockingSARS-CoV-2

Identifiers

PMID37861016
OpenAlexW4387799123

What Socratic 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 Socratic graph.