PreprintCited by 0Protein Structure and DynamicsSARS-CoV-2 and COVID-19 ResearchComputational Drug Discovery Methods

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Exploring the Conformational Dynamics of RNA Dependent RNA Polymerase of SARS-CoV-2 in the Presence of Various Nucleotide Analogues

Open access
Koulgi, Shruti, Jani, Vinod, Uppuladinne V N, Mallikarjunachari, Sonavane, Uddhavesh, Joshi, Rajendra·2020·ChemRxiv

Preprint — published as 10.1080/07391102.2021.1894985 · Paper page

Abstract

RNA dependent RNA polymerase (RdRP) from positive stranded RNA viruses has always been a hot target for designing of new drugs as it is responsible for viral replication. The major class of drugs that are targeted against RdRP are nucleotide analogues. An extensive docking and molecular dynamics study describing the role of natural nucleotides (NTPs) and its analogues in imparting an inhibitory effect on the RdRP has been presented here. RdRP simulations in its apo, NTP-bound and analogue-bound form have been performed for a cumulative time of 1.9 μs. The conformational flexibility of the RdRP molecule was explored using Principal Component Analysis (PCA) and Markov State Modeling (MSM) Analysis. PCA inferred the presence of correlated motions along the conserved motifs of the RdRP. The ligand binding motif F and template binding motif G showed motions that are negatively correlated with one another. LYS 551, ARG 553 and ARG 555 which are a part of the motif F appear to form strong interactions with the ligand molecules. ARG 836, a primer binding residue was observed to strongly bind to the nucleotide analogues. The MSM analysis helped to observe different conformational states explored by the RdRP. The ensemble docking of the ligands on the Markov states suggested the involvement of the above residues in ligand interactions. The Markov states obtained clearly demarcated the open and closed conformations. The closed states were observed to have more favorable docking of the ligands. MSM analysis predicted a probable inhibitory mechanism involving the closing of the template entry site by reduction in the distance between the flanking finger and thumb subdomain.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.26434/chemrxiv.12886856.v1

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Metadata

Authors
Koulgi, S., Jani, V., Uppuladinne V N, M., Sonavane, U., & Joshi, R.
Affiliations
Centre for Development of Advanced Computing (IN)
Venue
ChemRxiv
Published
2020-08-28
ISSN
2573-2293 (ISSN-L)
OpenAlex
W4242913219
Cited by
0
References
1
Type
posted content
Language
en
Open access
Locations
ChemRxiv (acceptedVersion, cc-by-nc-nd)
Funders
  • National Patient Safety Foundation
  • Ministry of Electronics and Information technology
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
Keywords
RNA-dependent RNA polymerase, SARS-CoV-2, nucleotide analogues, antiviral drug design, conformational dynamics, ligand binding, primer binding site, Markov state models, principal component analysis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Exploring the Conformational Dynamics of RNA Dependent RNA Polymerase of SARS-CoV-2 in the Presence of Various Nucleotide Analogues. https://app.cochat.ai/papers/10.26434/chemrxiv.12886856
The paper
Koulgi, S., Jani, V., Uppuladinne V N, M., Sonavane, U., & Joshi, R. (2020). Exploring the Conformational Dynamics of RNA Dependent RNA Polymerase of SARS-CoV-2 in the Presence of Various Nucleotide Analogues. ChemRxiv. https://doi.org/10.26434/chemrxiv.12886856