A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations
Eccleston, RC
; Manko, E; Campino, S; Clark, TG and Furnham, N
(2022).
A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.6122329
; Manko, E; Campino, S; Clark, TG and Furnham, N
(2022).
A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations.
[Dataset].
Zenodo.
https://doi.org/10.5281/zenodo.6122329
Supporting information dataset for A computational method for predicting the most likely evolutionary trajectories in the stepwise accumulation of resistance mutations, including Flex ddG binding free energy predictions, epistasis calculations, pathway probabilities, Rosetta files and structural files.
Keywords
resistance mutations| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Unknown |
| Date | 17 February 2022 |
| Language(s) of written materials | English |
| Creator(s) |
Eccleston, RC; Manko, E; Campino, S; Clark, TG and Furnham, N
|
| LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Department of Infection Biology |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 06 May 2022 09:22 |
| Last Modified | 14 Oct 2025 10:12 |
| Publisher | Zenodo |
No files available. Please consult associated links.
