Institution:
EP-pred is a machine-learning classifier that flags promiscuous vs specific esterase sequences from FASTA input. It can help biocatalysis or pro-drug teams rank enzyme libraries before costly wet-lab screens.
EP-pred offers a ML filter that can trim enzyme-screening costs, giving it a tangible fit to the HPC-driven drug-discovery trend once the model is broadened beyond esterases and GPU-enabled for large-library throughput.