ReviewDrug discovery today2012
Structure-based methods for predicting target mutation-induced drug resistance and rational drug design to overcome the problem.
Review in Drug discovery today, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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.
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.
Who cites it
25 citing papers in PubMed.
- The substrate envelope strategy: Structural basis for resistance mitigation in antiviral drug design.Pharmaceutical science advances · 2026Review
- Atomic-level protein-ligand recognition with PBCNet2.0 for probe discovery.Nature chemical biology · 2026Article
- Accelerated Combinatorial Drug Design for Human Immunodeficiency Virus Resistance through Seeded Multisite λ-Dynamics.Journal of chemical theory and computation · 2026Article
- Cellular and molecular aspects of drug resistance in cancers.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024Review
- Hit discovery of potential CDK8 inhibitors and analysis of amino acid mutations for cancer therapy through computer-aided drug discovery.BMC chemistry · 2024Article
- Unraveling Extremely DamagingJournal of personalized medicine · 2023Article
- Remote laboratory training for high school students: grocery store based hands-on project in protein crystallography.Journal of applied crystallography · 2023Article
- Deep Local Analysis deconstructs protein-protein interfaces and accurately estimates binding affinity changes upon mutation.Bioinformatics (Oxford, England) · 2023Article
- Machine learning based personalized drug response prediction for lung cancer patients.Scientific reports · 2022Article
- BayeStab: Predicting effects of mutations on protein stability with uncertainty quantification.Protein science : a publication of the Protein Society · 2022Article
- The Spike Mutants Website: A Worldwide Used Resource against SARS-CoV-2.International journal of molecular sciences · 2022Article
- Assessment of a Computational Approach to Predict Drug Resistance Mutations for HIV, HBV and SARS-CoV-2.Molecules (Basel, Switzerland) · 2022Article
- Design and preparation of a new multi-targeted drug delivery system using multifunctional nanoparticles for co-delivery of siRNA and paclitaxel.Journal of pharmaceutical analysis · 2021Article
- Drug Design Strategies to Avoid Resistance in Direct-Acting Antivirals and Beyond.Chemical reviews · 2021Review
- Article
- Mutation effect estimation on protein-protein interactions using deep contextualized representation learning.NAR genomics and bioinformatics · 2020Article
- An Innovative Sequence-to-Structure-Based Approach to Drug Resistance Interpretation and Prediction: The Use of Molecular Interaction Fields to Detect HIV-1 Protease Binding-Site Dissimilarities.Frontiers in chemistry · 2020Article
- Quantum mechanics implementation in drug-design workflows: does it really help?Drug design, development and therapy · 2017Review
- Reverse Chemical Genetics: Comprehensive Fitness Profiling Reveals the Spectrum of Drug Target Interactions.PLoS genetics · 2016Article
- Identifying EGFR mutation-induced drug resistance based on alpha shape model analysis of the dynamics.Proteome science · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Drug resistance has become one of the biggest challenges in drug discovery and/or development and has attracted great research interests worldwide. During the past decade, computational strategies have been developed to predict target mutation-induced drug resistance. Meanwhile, various molecular design strategies, including targeting protein backbone, targeting highly conserved residues and dual/multiple targeting, have been used to design novel inhibitors for combating the drug resistance. In this article we review recent advances in development of computational methods for target mutation-induced drug resistance prediction and strategies for rational design of novel inhibitors that could be effective against the possible drug-resistant mutants of the target.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.