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Machine Learning Approaches to Predict Enzyme Function
Mitchell, John B. O.
(PI)
De Ferrari, Luna
(Researcher)
School of Chemistry
Project
:
Standard
Overview
Fingerprint
Research output
(12)
Activities
(2)
Datasets
(3)
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Weight
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Computer Science
Nave Bayes
69%
Machine Learning
46%
Learning System
46%
Probability
46%
Binary Feature
46%
Education
46%
Feature Space
46%
Template Matching
46%
Bayesian Approach
46%
Bioinformatics
46%
Training Dataset
38%
Bayes Classifier
34%
Biochemistry, Genetics and Molecular Biology
Enzyme
100%
Enzyme Mechanism
68%
Structure Activity Relation
61%
Protein Tertiary Structure
46%
Biological Activity
46%
Perceptron
46%
Chemical Structure
46%
Chemistry
Chemoinformatics
57%
Free Energy
46%
Bioactivity
46%
Catalysis
46%
Structure-Activity Relationship
46%
Solubility
46%