New Results
A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations
R. Charlotte Eccleston, Emilia Manko, Susana Campino, Taane G. Clarke, Nicholas Furnham
doi: https://doi.org/10.1101/2022.01.25.477595
R. Charlotte Eccleston
aDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
Emilia Manko
aDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
Susana Campino
aDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
Taane G. Clarke
aDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
bDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
Nicholas Furnham
aDepartment of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom

- Supplementary Figures[supplements/477595_file02.pdf]
- Supplementary Data[supplements/477595_file03.zip]
Posted January 27, 2022.
A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations
R. Charlotte Eccleston, Emilia Manko, Susana Campino, Taane G. Clarke, Nicholas Furnham
bioRxiv 2022.01.25.477595; doi: https://doi.org/10.1101/2022.01.25.477595
Subject Area
Subject Areas
- Biochemistry (7584)
- Bioengineering (5533)
- Bioinformatics (20816)
- Biophysics (10341)
- Cancer Biology (7992)
- Cell Biology (11652)
- Clinical Trials (138)
- Developmental Biology (6616)
- Ecology (10222)
- Epidemiology (2065)
- Evolutionary Biology (13639)
- Genetics (9553)
- Genomics (12856)
- Immunology (7928)
- Microbiology (19561)
- Molecular Biology (7674)
- Neuroscience (42165)
- Paleontology (308)
- Pathology (1259)
- Pharmacology and Toxicology (2204)
- Physiology (3271)
- Plant Biology (7052)
- Synthetic Biology (1953)
- Systems Biology (5431)
- Zoology (1119)