A multi-omics interpretable machine learning model reveals modes of action of small molecules
NL Patel-Murray, M Adam, N Huynh, BT Wassie… - Scientific reports, 2020 - nature.com
High-throughput screening and gene signature analyses frequently identify lead therapeutic
compounds with unknown modes of action (MoAs), and the resulting uncertainties can lead …
compounds with unknown modes of action (MoAs), and the resulting uncertainties can lead …
Discovery of drug mode of action and drug repositioning from transcriptional responses
F Iorio, R Bosotti, E Scacheri… - Proceedings of the …, 2010 - National Acad Sciences
A bottleneck in drug discovery is the identification of the molecular targets of a compound
(mode of action, MoA) and of its off-target effects. Previous approaches to elucidate drug …
(mode of action, MoA) and of its off-target effects. Previous approaches to elucidate drug …
Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures
Genome-wide identification of all target proteins of drug candidate compounds is a
challenging issue in drug discovery. Moreover, emerging phenotypic effects, including …
challenging issue in drug discovery. Moreover, emerging phenotypic effects, including …
Drug voyager: a computational platform for exploring unintended drug action
Background The dominant paradigm in understanding drug action focuses on the intended
therapeutic effects and frequent adverse reactions. However, this approach may limit …
therapeutic effects and frequent adverse reactions. However, this approach may limit …
Identifying problematic drugs based on the characteristics of their targets
TJS Lopes, JE Shoemaker, Y Matsuoka… - Frontiers in …, 2015 - frontiersin.org
Identifying promising compounds during the early stages of drug development is a major
challenge for both academia and the pharmaceutical industry. The difficulties are even more …
challenge for both academia and the pharmaceutical industry. The difficulties are even more …
Comparing structural and transcriptional drug networks reveals signatures of drug activity and toxicity in transcriptional responses
F Sirci, F Napolitano, S Pisonero-Vaquero… - NPJ systems biology …, 2017 - nature.com
We performed an integrated analysis of drug chemical structures and drug-induced
transcriptional responses. We demonstrated that a network representing three-dimensional …
transcriptional responses. We demonstrated that a network representing three-dimensional …
Computational analyses of mechanism of action (MoA): data, methods and integration
The elucidation of a compound's Mechanism of Action (MoA) is a challenging task in the
drug discovery process, but it is important in order to rationalise phenotypic findings and to …
drug discovery process, but it is important in order to rationalise phenotypic findings and to …
In silico profiling of systemic effects of drugs to predict unexpected interactions
Identifying unexpected drug interactions is an essential step in drug development. Most
studies focus on predicting whether a drug pair interacts or is effective on a certain disease …
studies focus on predicting whether a drug pair interacts or is effective on a certain disease …
Mergeomics 2.0: a web server for multi-omics data integration to elucidate disease networks and predict therapeutics
J Ding, M Blencowe, T Nghiem, S Ha… - Nucleic Acids …, 2021 - academic.oup.com
The Mergeomics web server is a flexible online tool for multi-omics data integration to derive
biological pathways, networks, and key drivers important to disease pathogenesis and is …
biological pathways, networks, and key drivers important to disease pathogenesis and is …
Gaining insight into off-target mediated effects of drug candidates with a comprehensive systems chemical biology analysis
We present a workflow that leverages data from chemogenomics based target predictions
with Systems Biology databases to better understand off-target related toxicities. By …
with Systems Biology databases to better understand off-target related toxicities. By …