Data-Driven Drug Discovery and Molecular Informatics

Professor Andreas Bender

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

Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching
JW Kruisselbrink, A Aleman, MTM Emmerich, AP IJzerman, A Bender, T Baeck, E van der Horst
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
(2009)
(doi: 10.1145/1569901.1569932)
Plate-based diversity selection based on empirical HTS data to enhance the number of hits and their chemical diversity
SCK Sukuru, JL Jenkins, REJ Beckwith, J Scheiber, A Bender, D Mikhailov, JW Davies, M Glick
SLAS Discovery
(2009)
14
(doi: 10.1177/1087057109335678)
Frequent substructure mining of GPCR ligands
EVD Horst, A Bender, A IJzerman
BMC Chemistry
(2009)
3
(doi: 10.1186/1752-153X-3-S1-P69)
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
(doi: 10.1021/pr8010843)
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
(doi: 10.1021/jm801546k)
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
(doi: 10.1021/pr900107z)
The discovery of antibacterial agents using diversity-oriented synthesis
WRJD Galloway, A Bender, M Welch, DR Spring
Chemical Communications
(2009)
(doi: 10.1039/b816852k)
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
(doi: 10.1021/ci8003896)
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
J Chem Inf Model
(2009)
49
(doi: 10.1021/ci800344p)
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
(doi: 10.1021/ci800379q)

Research Interest Groups

Telephone number

01223 762983

Email address

ab454@cam.ac.uk
Yusuf Hamied Department of Chemistry
Lensfield Road
Cambridge
CB2 1EW
T: +44 (0) 1223 336300
enquiries@ch.cam.ac.uk
Contacts
Directions

Privacy and cookie policy

About the Department

Departmental Services

Bender Group

Email: ab454@cam.ac.uk
T: 01223 762983

Study at Cambridge

About the University

Research at Cambridge