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.

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

Systemic neurotransmitter responses to clinically approved and experimental neuropsychiatric drugs.
HR Noori, LH Mervin, V Bokharaie, Ö Durmus, L Egenrieder, S Fritze, B Gruhlke, G Reinhardt, H-H Schabel, S Staudenmaier, NK Logothetis, A Bender, R Spanagel
Nature communications
(2018)
9
Information-Derived Mechanistic Hypotheses for Structural Cardiotoxicity
F Svensson, A Zoufir, S Mahmoud, AM Afzal, I Smit, KA Giblin, PJ Clements, JT Mettetal, A Pointon, JS Harvey, N Greene, RV Williams, A Bender
Chem Res Toxicol
(2018)
31
Deep Confidence: A Computationally Efficient Framework for Calculating Reliable Prediction Errors for Deep Neural Networks
I Cortés-Ciriano, A Bender
Journal of Chemical Information and Modeling
(2018)
59
Discovery of a small-molecule inhibitor of specific serine residue BAD phosphorylation.
V Pandey, B Wang, CD Mohan, AR Raquib, S Rangappa, V Srinivasa, JE Fuchs, KS Girish, T Zhu, A Bender, L Ma, Z Yin, Basappa, KS Rangappa, PE Lobie
Proc Natl Acad Sci U S A
(2018)
115
Using Machine Learning to Predict Synergistic Antimalarial Compound Combinations With Novel Structures
DJ Mason, RT Eastman, RPI Lewis, IP Stott, R Guha, A Bender
Frontiers in Pharmacology
(2018)
9
Discovering Highly Potent Molecules from an Initial Set of Inactives Using Iterative Screening.
I Cortés-Ciriano, NC Firth, A Bender, O Watson
J Chem Inf Model
(2018)
58
Prospectively Validated Proteochemometric Models for the Prediction of Small-Molecule Binding to Bromodomain Proteins.
KA Giblin, SJ Hughes, H Boyd, P Hansson, A Bender
J Chem Inf Model
(2018)
58
Synthesis of Structurally Diverse N-Substituted Quaternary-Carbon-Containing Small Molecules from α,α-Disubstituted Propargyl Amino Esters.
N Mateu, SL Kidd, L Kalash, HF Sore, A Madin, A Bender, DR Spring
Chemistry
(2018)
24
Understanding and predicting disease relationships through similarity fusion.
E Oerton, I Roberts, PSH Lewis, T Guilliams, A Bender
Bioinformatics (Oxford, England)
(2018)
35
Structure-based design of allosteric calpain-1 inhibitors populating a novel bioactivity space
L Kalash, J Cresser-Brown, J Habchi, C Morgan, DJ Miller, RC Glen, RK Allemann, A Bender
European Journal of Medicinal Chemistry
(2018)
157

Research Interest Groups

Telephone number

01223 762983

Email address