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Multi-scale Predictions of Drug Resistance Epidemiology Identify Design Principles for Rational Drug Design
Scott M. Leighow
, Chuan Liu
, Haider Inam
, Boyang Zhao
,
Justin R. Pritchard
Biomedical Engineering
Huck Institutes of the Life Sciences
Penn State Cancer Institute
Cancer Institute, Mechanisms of Carcinogenesis
Research output
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Contribution to journal
›
Article
›
peer-review
15
Scopus citations
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Keyphrases
Biological Evolution
50%
Biophysical Model
50%
Breast Cancer
100%
Clinical Trials
50%
Design Principles
100%
Drug Design
50%
Drug Discovery
50%
Drug Resistance
100%
Evolutionary Trajectory
50%
First-principles Method
50%
Gastrointestinal Stromal Tumor
50%
Leukaemia Clinical
50%
Leukemia
50%
Meta-analysis
50%
Most Probable
50%
Mutational Bias
50%
Neoadjuvant Setting
50%
Patient Demographics
50%
Prostate Cancer
50%
Rational Drug Design
100%
Relative Abundance
50%
Resistance Evolution
50%
Resistance mutations
100%
Stochasticity
50%
Biochemistry, Genetics and Molecular Biology
Clinical Trial
50%
Drug Resistance
100%
Evolution
100%