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SProtFP: a machine learning-based method for
SProtFP is the first ML-based tool that assigns prokaryotic small proteins to systematically defined functional categories.
Identification of pan-serotype drug candidates
Using virtual screening methodologies, two small molecule compounds were identified with favorable drug-like properties and can be developed as a treatment for Dengue virus
A novel structure-based method to predict the
Using machine learning, researchers at NII develop a novel structure-based method (SG-ML-PLAP) to predict the strength of protein-drug (ligand) binding. This new method significantly enhances the accuracy of binding energy calculation which is a key step in structure-based drug discovery.
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SProtFP: a machine learning-based method for
SProtFP is the first ML-based tool that assigns prokaryotic small proteins to systematically defined functional categories.
Identification of pan-serotype drug candidates
Using virtual screening methodologies, two small molecule compounds were identified with favorable drug-like properties and can be developed as a
A novel structure-based method to predict the
Using machine learning, researchers at NII develop a novel structure-based method (SG-ML-PLAP) to predict the strength of protein-drug (ligand)