Gerard J. P. van Westen

The paper identifies amino acid changes in M. smegmatis DnaE1 that affect DNA polymerase fidelity through in silico and experimental approaches.

PyVADesign is a Python tool that streamlines the design and ordering of dsDNA fragments for generating large mutant libraries, with automated primer design.

This paper introduces a knowledge graph to prioritize cancer mutations for targeted therapy by integrating clinical, functional, and structural data.

This study analyzes somatic mutations in GPCRs across cancer patients and healthy individuals, identifying conserved mutation hotspots and prioritizing GPCRs for further cancer research.

The paper uses multi-task learning to link drug targets and pathway activation, revealing interactions that guide tissue-specific combination therapies.

This study compares machine learning methods on a standardized ChEMBL dataset, finding deep neural networks outperform conventional methods in bioactivity prediction.