Characterizing and predicting catalytic residues in enzyme active sites based on local properties: a machine learning approach
Developing computational methods for assigning protein function from tertiary structure is a very important problem, predicting a catalytic mechanism based only on structural information being a particularly challenging task. This work focuses on helping to understand the molecular basis of catalysi...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2007
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/28861
- Acceso en línea:
- https://doi.org/10.1109/BIBE.2007.4375671
https://repository.urosario.edu.co/handle/10336/28861
- Palabra clave:
- Biochemistry
Machine learning
Sequences
Genomics
Bioinformatics
Predictive models
Protein engineering
Nuclear magnetic resonance
Data mining
Crystallography
- Rights
- License
- Restringido (Acceso a grupos específicos)