2 citations · 3 across the 3 of their papers we have counts for
3 papers
On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction
Nikolai Schapin, Carles Navarro, Albert Bou +1
Binding affinity optimization is crucial in early-stage drug discovery. While numerous machine learning methods exist for predicting ligand potency, their comparative efficacy rema…
PlayMolecule pKAce: Small Molecule Protonation through Equivariant Neural Networks
Nikolai Schapin, Maciej Majewski, Mariona Torrens-Fontanals +1
Small molecule protonation is an important part of the preparation of small molecules for many types of computational chemistry protocols. For this, a correct estimation of the pKa…
Machine Learning Small Molecule Properties in Drug Discovery
Nikolai Schapin, Maciej Majewski, Alejandro Varela +2
Machine learning (ML) is a promising approach for predicting small molecule properties in drug discovery. Here, we provide a comprehensive overview of various ML methods introduced…