Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Assessment of a Computational Approach to Predict Drug Resistance Mutations for HIV, HBV and SARS-CoV-2.

Molecules (Basel, Switzerland) - 24 Aug 2022

Patel Dharmeshkumar, Ono Suzane K, Bassit Leda, Verma Kiran, Amblard Franck, Schinazi Raymond F

Abstract excerpt

Viral resistance is a worldwide problem mitigating the effectiveness of antiviral drugs. Mutations in the drug-targeting proteins are the primary mechanism for the emergence of drug resistance. It is essential to identify the drug resistance mutations to elucidate the mechanism of resistance and to suggest promising treatment strategies to counter the drug resistance. However, experimental identification of drug...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Antiviral Agents
Share to COVID-19

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Drug Resistance, Viral

Share to Hepatitis B virus

Share to HIV Infections

Share to Mutation

Share to SARS-CoV-2

Source

Open in PubMed Open full text

Identifiers

PMID: 36080181
DOI: 10.3390/molecules27175413
PMCID: PMC9457688

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Assessment of a Computational Approach to Predict Drug Resistance Mutations for HIV, HBV and SARS-CoV-2.PMID 36080181Read ↗

Predicting Nirmatrelvir Resistance in SARS-CoV-2 Mpro Mutants with an Integrated Computational Framework.Semantic proximity Read ↗

Predicting Antiviral Resistance Mutations in SARS-CoV-2 Main Protease with Computational and Experimental Screening.Semantic proximity Read ↗

Structure-based methods for predicting target mutation-induced drug resistance and rational drug design to overcome the problem.Semantic proximity Read ↗

Discovery of Nirmatrelvir Resistance Mutations in SARS-CoV-2 3CLpro: A Computational-Experimental Approach.Semantic proximity Read ↗

Exploring the Drug Resistance of HCV Protease.Semantic proximity Read ↗

Understanding the genetics of viral drug resistance by integrating clinical data and mining of the scientific literature.Semantic proximity Read ↗

Understanding the Genetics of Viral Drug Resistance by Integrating Clinical Data and Mining of the Scientific LiteratureSemantic proximity Read ↗

Application of Computational Methods in Understanding Mutations in Mycobacterium tuberculosis Drug ResistanceSemantic proximity Read ↗

Computational mutation scanning and drug resistance mechanisms of HIV-1 protease inhibitors.Semantic proximity Read ↗

Computational Prediction of HIV-1 Resistance to Protease Inhibitors.Semantic proximity Read ↗

Exploring evolutionary trajectories of drug resistance.Semantic proximity Read ↗

Prediction and molecular field view of drug resistance in HIV-1 protease mutants.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.