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Yusuf Hamied Department of Chemistry

 

Professor Andreas Bender

Professor of 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

Computational analyses of mechanism of action (MoA): data, methods and integration
M-A Trapotsi, L Hosseini-Gerami, A Bender
– RSC Chemical Biology
(2021)
3,
170
(doi: 10.1039/d1cb00069a)
Machine Learning Models for Human In Vivo Pharmacokinetic Parameters with In-House Validation.
F Miljković, A Martinsson, O Obrezanova, B Williamson, M Johnson, A Sykes, A Bender, N Greene
– Molecular pharmaceutics
(2021)
18,
4520
(doi: 10.1021/acs.molpharmaceut.1c00718)
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)
Deriving time-concordant event cascades from gene expression data: A case study for Drug-Induced Liver Injury (DILI)
A Liu, N Han, J Munoz-Muriedas, A Bender
(2021)
2021.09.23.461089
(doi: 10.1101/2021.09.23.461089)
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
– Computational Toxicology
(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)
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
(doi: 10.1016/s0378-4274(21)00395-7)
(link to publication)
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
(doi: 10.1016/s0378-4274(21)00538-5)
(link to publication)
Probabilistic Random Forest improves bioactivity predictions close to the classification threshold by taking into account experimental uncertainty.
LH Mervin, M-A Trapotsi, AM Afzal, IP Barrett, A Bender, O Engkvist
– Journal of Cheminformatics
(2021)
13,
62
(doi: 10.1186/s13321-021-00539-7)
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Research Group

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Telephone number

01223 762983

Email address

ab454@cam.ac.uk

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