PreprintAll rights reservedbioRxiv
Amino acid clustering and epistasis guide sequence-based prediction of phenotype modulation
- 1Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Quimica Biologic
Related
- From single-sequence structure prediction to protein fitness landscape through a composable, epistasis-aware mutation atlas
- A Curated Phenotype-Linked HIV-1 Sequence Dataset for Machine Learning Approaches to Tropism Prediction, Disease Progression and Proviral Reservoir Studies.
- Recurrence in Sequence Space: How Epistasis Mimics Shared Ancestry
- Inferring modularity in genotype-phenotype maps using patterns of epistasis and pleiotropy
- The use of sequence databases for taxonomic research in phytovirology and the application of factor analysis of correspondences to the clustering of geminiviruses
BibTeX
@misc{berthet2026amino,
title = {{Amino acid clustering and epistasis guide sequence-based prediction of phenotype modulation}},
author = {A. S. Hernandez Berthet and I. E. Sanchez and M. E. Noguera and E. A. Roman},
howpublished = {bioRxiv},
year = {2026},
month = nov,
doi = {10.64898/2026.11.06.764933},
url = {https://www.biorxiv.org/content/10.64898/2026.11.06.764933v1},
}
RIS
TY - UNPB
TI - Amino acid clustering and epistasis guide sequence-based prediction of phenotype modulation
AU - A. S. Hernandez Berthet
AU - I. E. Sanchez
AU - M. E. Noguera
AU - E. A. Roman
PY - 2026
DA - 2026/11/06
PB - bioRxiv
DO - 10.64898/2026.11.06.764933
UR - https://www.biorxiv.org/content/10.64898/2026.11.06.764933v1
ER -