Drug resistance mutations alter protein structure to reduce drug binding while maintaining protein function, posing a major challenge in cancer and infectious disease treatment. We present DrugResistanceEngine, a pure-Python pipeline for drug resistance analysis.
Drug resistance mutations alter protein structure to reduce drug binding while maintaining protein function, posing a major challenge in cancer and infectious disease treatment. We present DrugResistanceEngine, a pure-Python pipeline for drug resistance analysis.
Deep mutational scanning (DMS) measures the fitness effects of thousands of protein variants simultaneously, revealing the functional landscape of sequence space. We present DeepMutationalScanningEngine, a pure-Python pipeline for DMS data analysis.
Information-Theoretic Decomposition of Mutual Information Between Genotype and Phenotype Reveals 40% Attributable to Epistatic Interactions in Yeast Fitness Landscapes. We present a comprehensive quantitative analysis that challenges conventional understanding.
The fitness cost of antibiotic resistance mutations is considered a key factor governing resistance dynamics, yet most estimates come from a handful of genetic backgrounds. We systematically measure the fitness cost of 12 common resistance mutations across 4,096 Escherichia coli genotypes constructed via combinatorial assembly of 12 neutral marker loci.