Evidence map›Paper›PMID 33257748›Full record

ArticleScientific reports2020

An in silico approach to analyze HCV genotype-specific binding-site variation and its effect on drug-protein interaction.

Ramsha Khalid, Muhammad Faraz Anwar, Muhammad Aanish Raees, Sadaf Naeem, Syed Hani Abidi, Syed Ali

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. 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
0.3field-weighted citation impact, top 42% 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, 3 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

6 authors at 4 institutions in 3 countries.

Ramsha KhalidDepartment of Biochemistry, University of Karachi, Karachi, Pakistan.
Muhammad Faraz AnwarDepartment of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan.
Muhammad Aanish RaeesCincinnati Children's Hospital Medical Center, Ohio, USA.
Sadaf NaeemDepartment of Biochemistry, University of Karachi, Karachi, Pakistan.
Syed Hani AbidiDepartment of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan. m.haniabidi@gmail.com.ORCID 0000-0001-9497-0902
Syed AliDepartment of Biological Sciences, Nazarbayev University School of Medicine, Nazarbayev University, Astana, Kazakhstan. syed.ali@nu.edu.kz.
Aga Khan University · PKUniversity of Karachi · PKCincinnati Children's Hospital Medical Center · USNazarbayev University · KZ

Funding

Phylodynamic Analysis of HIV Transmission Clusters in Kazakhstan for Targeted InterventionsR03DA052179 · NIDA · YALE UNIVERSITY · PI ALI, SYED, VERMUND, STEN H. · 2020 to 2021
$145k
NIDA NIH HHS R03 DA052179
6 · The paper itself

Abstract

Genotype variation in viruses can affect the response of antiviral treatment. Several studies have established approaches to determine genotype-specific variations; however, analyses to determine the effect of these variations on drug-protein interactions remain unraveled. We present an in-silico approach to explore genotype-specific variations and their effect on drug-protein interaction. We have used HCV NS3 helicase and fluoroquinolones as a model for drug-protein interaction and have investigated the effect of amino acid variations in HCV NS3 of genotype 1a, 1b, 2b and 3a on NS3-fluoroquinolone interaction. We retrieved 687, 667, 101 and 248 nucleotide sequences of HCV NS3 genotypes 1a, 1b, 2b, and 3a, respectively, and translated these into amino acid sequences and used for genotype variation analysis, and also to construct 3D protein models for 2b and 3a genotypes. For 1a and 1b, crystal structures were used. Drug-protein interactions were determined using molecular docking analyses. Our results revealed that individual genotype-specific HCV NS3 showed substantial sequence heterogeneity that resulted in variations in docking interactions. We believe that our approach can be extrapolated to include other viruses to study the clinical significance of genotype-specific variations in drug-protein interactions.

Indexed as

Amino AcidsAmino Acid SequenceAntiviral AgentsBinding SitesComputer SimulationDrug InteractionsFluoroquinolonesGenetic VariationGenotypeHepacivirusHepatitis CHumansMolecular Docking SimulationViral Nonstructural ProteinsAmino AcidsAntiviral AgentsFluoroquinolonesViral Nonstructural Proteins

Identifiers

PMID33257748
PMCPMC7705671
OpenAlexW3110213262

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.