Professor of Molecular Informatics
Currently also: Chief Informatics and Technology Officer (CITO) at Pangea Botanica, London/UK and Berlin/Germany
Previous positions:
Director Digital Chemistry at NUVISAN Berlin
Associate Director Computational ADME and Safety (Clinical Pharmacology & Safety Sciences/Data Science and Artificial Intelligence - CPSS/DSAI) at AstraZeneca Cambridge
Co-founder of Healx Ltd.
Co-founder of PharmEnable Ltd.
- Committed to developing new life science data analysis methods (AI/ML/data science) and their application, primarily related to chemical biology, drug discovery and in silico toxicology
- Expertise comprises data ranging from chemical structure and gene expression data to phenotypic readouts and preclinical information, applied to both efficacy- and safety/tox-related questions
- Collaborating with academic research groups, as well as pharmaceutical, chemical, and consumer goods companies (Eli Lilly, AstraZeneca, GSK, BASF, Johnson&Johnson/Janssen, Unilever, ...)
- Co-founder/founding CTO and current SAB member of Healx Ltd. (data-driven drug repurposing for rare diseases, and beyond); co-founder of PharmEnable Ltd.; SAB member of Lhasa Ltd. (toxicology and metabolism prediction) and Cresset Ltd.
- Coordinator of the Computational & In Silico Toxicology Specialty Section of the British Toxicology Society (BTS)
- Steering Committee Member of the Cambridge Alliance on Medicines Safety (CAMS)
- Currently leading a group of ca. 15 PhD students, postdocs, project students and visitors at the Centre for Molecular Informatics at the University of Cambridge, https://www-cmi.ch.cam.ac.uk/centre-molecular-informatics
Publications
Transcriptomics predicts compound synergy in drug and natural product treated glioblastoma cells
– PLoS ONE
(2020)
15,
e0239551
(doi: 10.1371/journal.pone.0239551)
Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens.
– Patterns (N Y)
(2020)
1,
100065
(doi: 10.1016/j.patter.2020.100065)
Systematic analysis of protein targets associated with adverse events of drugs from clinical trials and post-marketing reports
(2020)
2020.06.12.135939
(doi: 10.1101/2020.06.12.135939)
QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction.
– Journal of cheminformatics
(2020)
12,
41
(doi: 10.1186/s13321-020-00444-5)
QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping.
– J Cheminform
(2020)
12,
39
(doi: 10.1186/s13321-020-00443-6)
Neurochemical underpinning of hemodynamic response to neuropsychiatric drugs: A meta- and cluster analysis of preclinical studies.
– J Cereb Blood Flow Metab
(2020)
41,
874
(doi: 10.1177/0271678x20916003)
EMDIP: An Entropy Measure to Discover Important Proteins in PPI networks.
– Computers in biology and medicine
(2020)
120,
103740
Establishing GPCR Targets of hMAO Active Anthraquinones from Cassia obtusifolia Linn Seeds Using in Silico and in Vitro Methods
– ACS Omega
(2020)
5,
7705
(doi: 10.1021/acsomega.0c00684)
Prediction and mechanistic analysis of Drug-Induced Liver Injury (DILI) based on chemical structure
(2020)
(doi: 10.21203/rs.3.rs-16599/v1)
Chapter 5 Concepts and Applications of Conformal Prediction in Computational Drug Discovery
(2020)
63
(doi: 10.1039/9781788016841-00063)
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