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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

Synthesis and characterization of novel 2-amino-chromene-nitriles that target Bcl-2 in acute myeloid leukemia cell lines
HK Keerthy, M Garg, CD Mohan, V Madan, D Kanojia, R Shobith, S Nanjundaswamy, DJ Mason, A Bender, Basappa, KS Rangappa, HP Koeffler
– PLoS ONE
(2014)
9,
e107118
Connecting gene expression data from connectivity map and in silico target predictions for small molecule mechanism-of-action analysis.
AC Ravindranath, N Perualila-Tan, A Kasim, G Drakakis, S Liggi, SC Brewerton, D Mason, MJ Bodkin, DA Evans, A Bhagwat, W Talloen, HWH Göhlmann, Z Shkedy, A Bender, QSTAR Consortium
– Molecular Omics
(2014)
11,
86
Novel Synthetic Biscoumarins Target Tumor Necrosis Factor-α in Hepatocellular Carcinoma in Vitro and in Vivo *
HK Keerthy, CD Mohan, KS Siveen, JE Fuchs, S Rangappa, MS Sundaram, F Li, KS Girish, G Sethi, Basappa, A Bender, KS Rangappa
– The Journal of biological chemistry
(2014)
289,
31879
Toxicity prediction using heterogeneous chemical and biological data sources
A Bender
– Toxicology Letters
(2014)
229,
s4
Predicting Toxic Effects of Metabolites
A Bender
(2014)
397
Novel benzoxazine-based aglycones block glucose uptake in vivo by inhibiting glycosidases.
H Bharathkumar, MS Sundaram, S Jagadish, S Paricharak, M Hemshekhar, D Mason, K Kemparaju, KS Girish, Basappa, A Bender, KS Rangappa
– PLoS ONE
(2014)
9,
e102759
Proteochemometric modeling in a Bayesian framework.
I Cortes-Ciriano, GJ van Westen, EB Lenselink, DS Murrell, A Bender, T Malliavin
– Journal of cheminformatics
(2014)
6,
35
A community effort to assess and improve drug sensitivity prediction algorithms
JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, M Bansal, M Ammad-ud-din, P Hintsanen, SA Khan, J-P Mpindi, O Kallioniemi, A Honkela, T Aittokallio, K Wennerberg, NCI DREAM Community, JJ Collins, D Gallahan, D Singer, J Saez-Rodriguez, S Kaski, JW Gray, G Stolovitzky
– Nat Biotechnol
(2014)
32,
1202
Towards predictive resistance models for agrochemicals by combining chemical and protein similarity via proteochemometric modelling
GJP van Westen, A Bender, JP Overington
– BMC Chemistry
(2014)
7,
119
Biofragments: An Approach towards Predicting Protein Function Using Biologically Related Fragments and its Application to Mycobacterium tuberculosis CYP126
SA Hudson, EH Mashalidis, A Bender, KJ McLean, AW Munro, C Abell
– Chembiochem : a European journal of chemical biology
(2014)
15,
549
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Research Interest Groups

Telephone number

01223 762983

Email address