Michael P. Menden
Michael P. Menden
Associate Professor, University of Melbourne, Department of Biochemistry and Pharmacology
Verified email at - Homepage
Cited by
Cited by
A landscape of pharmacogenomic interactions in cancer
F Iorio, TA Knijnenburg, DJ Vis, GR Bignell, MP Menden, M Schubert, ...
Cell 166 (3), 740-754, 2016
The IntAct molecular interaction database in 2010
B Aranda, P Achuthan, Y Alam-Faruque, I Armean, A Bridge, C Derow, ...
Nucleic acids research 38 (suppl_1), D525-D531, 2010
A community effort to assess and improve drug sensitivity prediction algorithms
JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, ...
Nature biotechnology 32 (12), 1202-1212, 2014
Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties
MP Menden, F Iorio, M Garnett, U McDermott, CH Benes, PJ Ballester, ...
PLoS one 8 (4), e61318, 2013
A community computational challenge to predict the activity of pairs of compounds
M Bansal, J Yang, C Karan, MP Menden, JC Costello, H Tang, G Xiao, ...
Nature biotechnology 32 (12), 1213-1222, 2014
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ...
Nature communications 10 (1), 2674, 2019
Pharmacogenomic agreement between two cancer cell line data sets
Cancer Cell Line Encyclopedia Consortium, ...
Nature 528 (7580), 84-87, 2015
Transcriptional data: a new gateway to drug repositioning?
F Iorio, T Rittman, H Ge, M Menden, J Saez-Rodriguez
Drug discovery today 18 (7-8), 350-357, 2013
Prediction of human population responses to toxic compounds by a collaborative competition
F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ...
Nature biotechnology 33 (9), 933-940, 2015
Adaptive informatics for multifactorial and high-content biological data
BL Millard, M Niepel, MP Menden, JL Muhlich, PK Sorger
Nature methods 8 (6), 487-492, 2011
Applying synergy metrics to combination screening data: agreements, disagreements and pitfalls
AHC Vlot, N Aniceto, MP Menden, G Ulrich-Merzenich, A Bender
Drug discovery today 24 (12), 2286-2298, 2019
Artificial intelligence in early drug discovery enabling precision medicine
F Boniolo, E Dorigatti, AJ Ohnmacht, D Saur, B Schubert, MP Menden
Expert Opinion on Drug Discovery 16 (9), 991-1007, 2021
Quantitative proteome landscape of the NCI-60 cancer cell lines
T Guo, A Luna, VN Rajapakse, CC Koh, Z Wu, W Liu, Y Sun, H Gao, ...
Iscience 21, 664-680, 2019
GDSCTools for mining pharmacogenomic interactions in cancer
T Cokelaer, E Chen, F Iorio, MP Menden, H Lightfoot, J Saez-Rodriguez, ...
Bioinformatics 34 (7), 1226-1228, 2018
Stratification and prediction of drug synergy based on target functional similarity
M Yang, P Jaaks, J Dry, M Garnett, MP Menden, J Saez-Rodriguez
NPJ systems biology and applications 6 (1), 16, 2020
The germline genetic component of drug sensitivity in cancer cell lines
MP Menden, FP Casale, J Stephan, GR Bignell, F Iorio, U McDermott, ...
Nature communications 9 (1), 3385, 2018
Machine learning and pharmacometrics for prediction of pharmacokinetic data: differences, similarities and challenges illustrated with rifampicin
L Keutzer, H You, A Farnoud, J Nyberg, SG Wicha, G Maher-Edwards, ...
Pharmaceutics 14 (8), 1530, 2022
Generative artificial intelligence empowers digital twins in drug discovery and clinical trials
M Bordukova, N Makarov, R Rodriguez-Esteban, F Schmich, MP Menden
Expert Opinion on Drug Discovery 19 (1), 33-42, 2024
A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction
MP Menden, D Wang, Y Guan, MJ Mason, B Szalai, KC Bulusu, T Yu, ...
BioRxiv, 200451, 2017
DREAMTools: a Python package for scoring collaborative challenges
T Cokelaer, M Bansal, C Bare, E Bilal, BM Bot, EC Neto, F Eduati, ...
F1000Research 4, 2015
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