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...
- 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