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Data-Driven Drug Discovery and 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.

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

Discovering Highly Potent Molecules from an Initial Set of Inactives Using Iterative Screening
I Cortés-Ciriano, NC Firth, A Bender, O Watson
– Journal of Chemical Information and Modeling
(2018)
58,
2000
Prospectively Validated Proteochemometric Models for the Prediction of Small Molecule Binding to Bromodomain Proteins
KA Giblin, SJ Hughes, H Boyd, P Hansson, A Bender
– Journal of chemical information and modeling
(2018)
58,
1870
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,
13681
Understanding and predicting disease relationships through similarity fusion.
E Oerton, I Roberts, PSH Lewis, T Guilliams, A Bender
– Bioinformatics
(2018)
35,
1213
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
– Eur J Med Chem
(2018)
157,
1264
Discovery of a non-toxic [1,2,4]triazolo[1,5-a]pyrimidin-7-one (WS-10) that modulates ABCB1-mediated multidrug resistance (MDR)
L Chang, M Xiao, L Yang, S Wang, S-Q Wang, A Bender, A Hu, Z-S Chen, B Yu, H-M Liu
– Bioorganic & Medicinal Chemistry
(2018)
26,
5006
Extending in Silico Protein Target Prediction Models to Include Functional Effects.
LH Mervin, AM Afzal, L Brive, O Engkvist, A Bender
– Frontiers in pharmacology
(2018)
9,
613
Can the inhibition of cytochrome P450 in aquatic invertebrates due to azole fungicides be estimated with in silico and in vitro models and extrapolated between species?
M Gottardi, JD Tyzack, A Bender, N Cedergreen
– Aquatic Toxicology
(2018)
201,
11
A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes.
CN Schlaffner, GJ Pirklbauer, A Bender, JAJ Steen, JS Choudhary
– J Vis Exp
(2018)
2018,
57633
(doi: 10.3791/57633)
Conformal Regression for Quantitative Structure-Activity Relationship Modeling - Quantifying Prediction Uncertainty
F Svensson, N Aniceto, U Norinder, I Cortes-Ciriano, O Spjuth, L Carlsson, A Bender
– Journal of Chemical Information and Modeling
(2018)
58,
1132
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Research Interest Groups

Telephone number

01223 762983

Email address