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Yusuf Hamied Department of Chemistry

 

Professor Andreas Bender

Professor of Molecular Informatics

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

Applications of Artificial Intelligence in Drug Design: Opportunities and Challenges
M Thomas, A Boardman, M Garcia-Ortegon, H Yang, C de Graaf, A Bender
– Methods Mol Biol
(2021)
2390,
1
(DOI: 10.1007/978-1-0716-1787-8_1)
In silico approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart, kidney and lung toxicities.
A Bassan, VM Alves, A Amberg, LT Anger, L Beilke, A Bender, A Bernal, MTD Cronin, J-H Hsieh, C Johnson, R Kemper, M Mumtaz, L Neilson, M Pavan, A Pointon, J Pletz, P Ruiz, DP Russo, Y Sabnis, R Sandhu, M Schaefer, L Stavitskaya, DT Szabo, J-P Valentin, D Woolley, C Zwickl, GJ Myatt
– Comput Toxicol
(2021)
20,
100188
(DOI: 10.1016/j.comtox.2021.100188)
In silico approaches in organ toxicity hazard assessment: current status and future needs in predicting liver toxicity.
A Bassan, VM Alves, A Amberg, LT Anger, S Auerbach, L Beilke, A Bender, MTD Cronin, KP Cross, J-H Hsieh, N Greene, R Kemper, MT Kim, M Mumtaz, T Noeske, M Pavan, J Pletz, DP Russo, Y Sabnis, M Schaefer, DT Szabo, J-P Valentin, J Wichard, D Williams, D Woolley, C Zwickl, GJ Myatt
– Comput Toxicol
(2021)
20,
100187
(DOI: 10.1016/j.comtox.2021.100187)
Prediction and identification of synergistic compound combinations against pancreatic cancer cells
Y KalantarMotamedi, RJ Choi, S-B Koh, JL Bramhall, T-P Fan, A Bender
– iScience
(2021)
24,
103080
(DOI: 10.1016/j.isci.2021.103080)
Prediction of inotropic effect based on calcium transients in human iPSC-derived cardiomyocytes using novel waveform parameters and a modified random forest algorithm
H Yang, O Obrezanova, A Pointon, W Stebbeds, J Francis, KA Beattie, P Clements, JS Harvey, GF Smith, A Bender
– TOXICOLOGY LETTERS
(2021)
350,
S61
Cell morphology descriptors and gene ontology profiles improve prediction for mitochondrial toxicity
S Seal, MA Trapotsi, JC Puigvert, H Yang, O Spjuth, A Bender
– TOXICOLOGY LETTERS
(2021)
350,
S81
Relating early cellular events to Drug-Induced Liver Injury (DILI) using time-resolved transcriptomic and histopathology data
A Liu, N Han, J Munoz-Muriedas, A Bender
– TOXICOLOGY LETTERS
(2021)
350,
S124
Artificial Intelligence in Drug Discovery and Computational Safety: What is Realistic, What are Illusions?
A Bender
– TOXICOLOGY LETTERS
(2021)
350,
S49
A transcriptomics-based new approach methodology (NAM) identifies points of departure (PoDs) of adaptive stress in HepG2 cells
D Basili, B Chambers, M Liddell, J Houghton, A White, I Shah, A Middleton, A Bender
– TOXICOLOGY LETTERS
(2021)
350,
S216
The impact of pooling animal histopathology control data on the statistical detection of treatment-related findings
PSR Wright, KA Briggs, R Thomas, GF Smith, G Maglennon, P Mikulskis, M Chapman, N Greene, A Bender
– TOXICOLOGY LETTERS
(2021)
350,
S63
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Telephone number

01223 762983

Email address

ab454@cam.ac.uk

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