Dual-Modality Transformer-Based Approach for Viral Protein Classification Integrating Protein Language Models and 3Di FASTA Representations

Viruses significantly impact ecosystems by influencing microbial diversity and facilitating genetic exchange, but their genomes remain poorly annotated. Accurate viral genome annotation is challenging due to limited viral protein representation in databases and rapid sequence divergence. We present...

Full description

Autores:
Puentes Mozo, Juanita
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2024
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/74920
Acceso en línea:
https://hdl.handle.net/1992/74920
Palabra clave:
Phage protein classification
Multi-modality approach
Viral proteins
Transformer models
Deep learning
Artificial intelligence
PHROGs database
PHROG-function prediction
Transfer learning in virology
Microbiología
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International