Area of research
Computational Theory and Mathematics · Molecular Biology
Research interest
Research interests include Computational Drug Discovery Methods, Protein Structure and Dynamics, Bioinformatics and Genomic Networks, and Chemical Synthesis and Analysis.
Large-scale multi-omics identifies drug targets for heart failure with reduced and preserved ejection fraction
Protein–ligand data at scale to support machine learning
Leveraging Large-Scale Biobanks for Therapeutic Target Discovery
A data science roadmap for open science organizations engaged in early-stage drug discovery
Genome-wide association analysis and Mendelian randomization proteomics identify drug targets for heart failure
CACHE (Critical Assessment of Computational Hit-finding Experiments): A public–private partnership benchmarking initiative to enable the development of computational methods for hit-finding
Actionable druggable genome-wide Mendelian randomization identifies repurposing opportunities for COVID-19
Target 2035 – update on the quest for a probe for every protein
The Global Phosphorylation Landscape of SARS-CoV-2 Infection
ChEMBL: towards direct deposition of bioassay data
Unexplored therapeutic opportunities in the human genome
Erratum: Unexplored therapeutic opportunities in the human genome
Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions