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...

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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
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License
Restringido (Acceso a grupos específicos)