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

Mapping Adverse Drug Reactions in Chemical Space
J Scheiber, JL Jenkins, SCK Sukuru, A Bender, D Mikhailov, M Milik, K Azzaoui, S Whitebread, J Hamon, L Urban, M Glick, JW Davies
Journal of medicinal chemistry
(2009)
52
Fishing the target of antitubercular compounds: in silico target deconvolution model development and validation.
P Prathipati, NL Ma, UH Manjunatha, A Bender
Journal of proteome research
(2009)
8
Use of Ligand Based Models for Protein Domains To Predict Novel Molecular Targets and Applications To Triage Affinity Chromatography Data
A Bender, D Mikhailov, M Glick, J Scheiber, JW Davies, S Cleaver, S Marshall, JA Tallarico, E Harrington, I Cornella-Taracido, JL Jenkins
Journal of proteome research
(2009)
8
The discovery of antibacterial agents using diversity-oriented synthesis
WRJD Galloway, A Bender, M Welch, DR Spring
Chem Commun (Camb)
(2009)
Substructure mining of GPCR ligands reveals activity-class specific functional groups in an unbiased manner.
E van der Horst, Y Okuno, A Bender, AP IJzerman
Journal of chemical information and modeling
(2009)
49
Gaining insight into off-target mediated effects of drug candidates with a comprehensive systems chemical biology analysis.
J Scheiber, B Chen, M Milik, SCK Sukuru, A Bender, D Mikhailov, S Whitebread, J Hamon, K Azzaoui, L Urban, M Glick, JW Davies, JL Jenkins
Journal of chemical information and modeling
(2009)
49
Characterization of Activity Landscapes Using 2D and 3D Similarity Methods: Consensus Activity Cliffs
JL Medina-Franco, K Martínez-Mayorga, A Bender, RM Marín, MA Giulianotti, C Pinilla, RA Houghten
J Chem Inf Model
(2009)
49
How similar are similarity searching methods? A principal component analysis of molecular descriptor space.
A Bender, JL Jenkins, J Scheiber, SCK Sukuru, M Glick, JW Davies
J Chem Inf Model
(2009)
49
Computational methods to support high-content screening: from compound selection and data analysis to postulating target hypotheses
A Kümmel, D Gabriel, CN Parker, A Bender
Expert Opinion on Drug Discovery
(2008)
4
Ligand-target prediction using winnow and naive bayesian algorithms and the implications of overall performance statistics
F Nigsch, A Bender, JL Jenkins, JBO Mitchell
J Chem Inf Model
(2008)
48

Research Interest Groups

Telephone number

01223 762983

Email address