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Department of Chemistry

 
Portrait of ab454

Reader for Molecular Informatics

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.

Personal Website

  • 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

QSAR-derived affinity fingerprints (part 2): Modeling performance for potency prediction
I Cortés-Ciriano, C Škuta, A Bender, D Svozil
– Journal of Cheminformatics
(2020)
12,
41
QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping
C Škuta, I Cortés-Ciriano, W Dehaen, P Kříž, GJP Van Westen, IV Tetko, A Bender, D Svozil
– Journal of Cheminformatics
(2020)
12,
39
EMDIP: An Entropy Measure to Discover Important Proteins in PPI networks
H Bashiri, H Rahmani, V Bashiri, D Módos, A Bender
– Comput Biol Med
(2020)
120,
103740
Understanding Conditional Associations between ToxCast in Vitro Readouts and the Hepatotoxicity of Compounds Using Rule-Based Methods
SY Mahmoud, F Svensson, A Zoufir, D Módos, AM Afzal, A Bender
– Chemical research in toxicology
(2020)
33,
137
Integrated network analysis using patient-specific single-nucleotide polymorphism profiles uncovers new pathways involved in ulcerative colitis pathogenesis
D Modos, J Brooks, P Sudhakar, B Verstockt, B Alexander-Dann, A Zoufir, D Fazekas, S Vermeire, T Korcsmaros, A Bender
– JOURNAL OF CROHNS & COLITIS
(2020)
14,
S092
Establishing GPCR Targets of hMAO Active Anthraquinones from Cassia obtusifolia Linn Seeds Using in Silico and in Vitro Methods
P Paudel, SH Seong, FM Fauzi, A Bender, HA Jung, JS Choi
– ACS Omega
(2020)
5,
7705
Neurochemical underpinning of hemodynamic response to neuropsychiatric drugs: A meta- and cluster analysis of preclinical studies
LH Mervin, E Mitricheva, NK Logothetis, A Bifone, A Bender, HR Noori
– J Cereb Blood Flow Metab
(2020)
271678x20916003
Leveraging heterogeneous data from GHS toxicity annotations, molecular and protein target descriptors and Tox21 assay readouts to predict and rationalise acute toxicity.
CHG Allen, LH Mervin, SY Mahmoud, A Bender
– J Cheminform
(2019)
11,
36
Applying drug synergy metrics to oncology combination screening data: agreements, disagreements and pitfalls
AHC Vlot, N Aniceto, MP Menden, G Ulrich-Merzenich, A Bender
– Drug discovery today
(2019)
24,
2286
Elucidating Compound Mechanism of Action and Predicting Cytotoxicity Using Machine Learning Approaches, Taking Prediction Confidence into Account
G Drakakis, I Cortés-Ciriano, B Alexander-Dann, A Bender
– Current protocols in chemical biology
(2019)
11,
e73
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Research Group

Research Interest Groups

Telephone number

01223 762983

Email address

ab454@cam.ac.uk