ArticleJournal of computational biology : a journal of computational molecular cell biology2022
RESISTOR: A New OSPREY Module to Predict Resistance Mutations.
Article in Journal of computational biology : a journal of computational molecular cell biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- Substitution Models of Protein Evolution with Selection on Enzymatic Activity.Molecular biology and evolution · 2024Article
- Disruptor: Computational identification of oncogenic mutants disrupting protein-protein and protein-DNA interactions.Communications biology · 2023Article
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Authors and funding
3 authors.
Funding
Abstract
Computational, in silico prediction of resistance-conferring escape mutations could accelerate the design of therapeutics less prone to resistance. This article describes how to use the Resistor algorithm to predict escape mutations. Resistor employs Pareto optimization on four resistance-conferring criteria-positive and negative design, mutational probability, and hotspot cardinality-to assign a Pareto rank to each prospective mutant. It also predicts the mechanism of resistance, that is, whether a mutant ablates binding to a drug, strengthens binding to the endogenous ligand, or a combination of these two factors, and provides structural models of the mutants. Resistor is part of the free and open-source computational protein design software OSPREY.
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Registered trials
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