Evidence map›Paper›PMID 33949124›Full record

ArticleChemistry, an Asian journal2021

Atomistic De-novo Inhibitor Generation-Guided Drug Repurposing for SARS-CoV-2 Spike Protein with Free-Energy Validation by Well-Tempered Metadynamics.

Rituparno Chowdhury, Venkata Sai Sreyas Adury, Amal Vijay, Reman K Singh, Arnab Mukherjee

Abstract read
In one paragraph

Article in Chemistry, an Asian journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Mechanism of the Early Catalytic Events in the Collagenolysis by Matrix Metalloproteinase-1.Chemphyschem : a European journal of chemical physics and physical chemistry · 2023
    Article
  2. Article
  3. Review
  4. Distant residues modulate conformational opening in SARS-CoV-2 spike protein.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. 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

5 authors.

Rituparno ChowdhuryDepartment of Chemistry, Indian Institute of Science Education and Research Pune, Maharashtra, India.
Venkata Sai Sreyas AduryDepartment of Chemistry, Indian Institute of Science Education and Research Pune, Maharashtra, India.
Amal VijayDepartment of Chemistry, Indian Institute of Science Education and Research Pune, Maharashtra, India.
Reman K SinghDepartment of Chemistry, Indian Institute of Science Education and Research Pune, Maharashtra, India.
Arnab MukherjeeDepartment of Chemistry, Indian Institute of Science Education and Research Pune, Maharashtra, India.ORCID http://orcid.org/0000-0001-5691-6120

Funding

CSIRdepartment of biotechnology, India BT/PR34215/AI/133/22/2019Government of India at the Indian Institute of Science Education and Research, Pune SX-1411075Government of India at the Indian Institute of Science Education and Research, Pune SX-1711011KVPY
6 · The paper itself

Abstract

Computational drug design is increasingly becoming important with new and unforeseen diseases like COVID-19. In this study, we present a new computational de novo drug design and repurposing method and applied it to find plausible drug candidates for the receptor binding domain (RBD) of SARS-CoV-2 (COVID-19). Our study comprises three steps: atom-by-atom generation of new molecules around a receptor, structural similarity mapping to existing approved and investigational drugs, and validation of their binding strengths to the viral spike proteins based on rigorous all-atom, explicit-water well-tempered metadynamics free energy calculations. By choosing the receptor binding domain of the viral spike protein, we showed that some of our new molecules and some of the repurposable drugs have stronger binding to RBD than hACE2. To validate our approach, we also calculated the free energy of hACE2 and RBD, and found it to be in an excellent agreement with experiments. These pool of drugs will allow strategic repurposing against COVID-19 for a particular prevailing conditions.

Indexed as

COVID-19 Drug TreatmentDrug DesignDrug RepositioningAntiviral AgentsComputer SimulationCOVID-19HumansModels, MolecularProtein ConformationSARS-CoV-2Spike Glycoprotein, CoronavirusThermodynamicsAntiviral AgentsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Covid-19de Novo drug designdockingfree energyhuman ACE2molecular dynamicsrepurposing therapeuticsSpike proteinwell-tempered metadynamics

Identifiers

PMID33949124
PMCPMC8207131

What OpenQuestion holds

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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.