Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction
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Updated
Jul 4, 2023 - Python
Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction
PRESTO: Correction of turnover numbers in enzyme-constraint metabolic models
A simple healthcheck wrapper to monitor Kafka.
Machine Learning Benchmark for Transferase Substrate Activation: This repository presents a systematic approach to evaluate a comprehensive set of features for predicting activation free energy, specifically focusing on kcat values. The benchmark model automates the process, ensuring rigorous and reproducible results in substrate energy screening.
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