Evidence map›Paper›PMID 40917523›Full record

ArticleIn silico pharmacology2025

Structure-guided design and triplicate molecular dynamics evaluation of mutant peptide inhibitors targeting SARS-CoV-2 main protease (Mpro).

Ankita Bhagat, Lakshmi Mounika Kelam, Nilanjan Samanta, M Elizabeth Sobhia

Abstract read
In one paragraph

Article in In silico pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

4 authors.

Ankita BhagatDepartment of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research (NIPER), Sector 67, S.A.S Nagar, Mohali, Punjab 160062 India.
Lakshmi Mounika KelamDepartment of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research (NIPER), Sector 67, S.A.S Nagar, Mohali, Punjab 160062 India.
Nilanjan SamantaDepartment of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research (NIPER), Sector 67, S.A.S Nagar, Mohali, Punjab 160062 India.
M Elizabeth SobhiaDepartment of Pharmacoinformatics, National Institute of Pharmaceutical Education and Research (NIPER), Sector 67, S.A.S Nagar, Mohali, Punjab 160062 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global health crisis caused by SARS-CoV-2 underscores the urgent need for effective antiviral therapeutics. The SARS-CoV-2 main protease (Mpro) is a crucial enzyme in viral replication, making it a prime target for drug development. In this study, we designed and evaluated peptide inhibitors targeting Mpro by introducing systematic mutations in the Nsp10/11 cleavage site peptide (QLMPER). A library of 214 mutant peptides was generated, from which 25 single-mutant and 70 multi-mutant peptides exhibited strong interactions with Mpro. The top four multi-mutant peptides were selected based on docking scores, molecular dynamics (MD) simulations, and MM-GBSA (Molecular Mechanics-Generalized Born Surface Area) binding free energy calculations. Triplicate 100 ns molecular dynamics simulations assessed the stability of these complexes, revealing that M3 exhibited the highest structural stability and lowest binding free energy (- 34 kcal/mol), outperforming the wild-type peptide (- 4.28 kcal/mol). Computational infrared (IR) spectral analysis confirmed structural modifications induced by mutations, while HOMO-LUMO analysis indicated enhanced reactivity for M3 (FLFPFR). These findings suggest that M3 (FLFPFR) is a promising candidate for SARS-CoV-2 inhibition, highlighting the potential of rationally designed peptide inhibitors in antiviral drug discovery. Graphical abstract: Computational workflow for design and evaluation of mutant peptides against SARS-CoV-2 Mpro, highlighting the workflow, key interactions, and improved binding of mutants at S2 and S3/S4 subsites. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-025-00409-2.

Indexed as

MD simulationMM-GBSAMutationNsp 10/11PeptideSARS-CoV-2 main protease (Mpro)

Identifiers

PMID40917523
PMCPMC12411358

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.