Institution:
EP-pred
Platform based on machine learning
Research Group:
BSC Group: Life Sciences
Researcher/s:
Ruite Xiang, Victor Guallar
Website:
https://github.com/etiur/EP-pred
Description:
Platform based on machine learning likely to have the following characteristics:
• It will extract features from input esterase sequences in FASTA format.
• It will filter those sequences that are too different from the training dataset because of the applicability domain phenomenon, since using a model to predict on proteins that the system has not seen and trained on before will likely produce errors.
• Finally, it will classify the sequences based on its promiscuity, >20 will be considered promiscuous and <20 non promiscuous.
Problem:
N/A
Solution:
N/A
Aplication areas:
N/A
Novelty:
N/A
Protection:
MIT License
Target market:
N/A
Keywords:
N/A
Technology Readiness Level (1-9): N/A
Business Readiness Level (1-9): N/A
More information
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