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20172023
most citedCompound virtual screening by learning-to-rank with gradient boosting decision tree and enrichment-based cumulative gain

7 citations · 20 across the 8 of their papers we have counts for

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q-bio.QM2017★ 4 cited

Link Mining for Kernel-based Compound-Protein Interaction Predictions Using a Chemogenomics Approach

Masahito Ohue, Takuro Yamazaki, Tomohiro Ban +1

Virtual screening (VS) is widely used during computational drug discovery to reduce costs. Chemogenomics-based virtual screening (CGBVS) can be used to predict new compound-protein…