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 …

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 …

Predicting inhibitory and activatory drug targets by chemically and genetically perturbed transcriptome signatures

R Sawada, M Iwata, Y Tabei, H Yamato… - Scientific reports, 2018 - nature.com
Genome-wide identification of all target proteins of drug candidate compounds is a
challenging issue in drug discovery. Moreover, emerging phenotypic effects, including …

Drug voyager: a computational platform for exploring unintended drug action

M Oh, J Ahn, T Lee, G Jang, C Park, Y Yoon - BMC bioinformatics, 2017 - Springer
Background The dominant paradigm in understanding drug action focuses on the intended
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 …

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 …

Computational analyses of mechanism of action (MoA): data, methods and integration

MA Trapotsi, L Hosseini-Gerami, A Bender - RSC chemical biology, 2022 - pubs.rsc.org
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 …

In silico profiling of systemic effects of drugs to predict unexpected interactions

S Yoo, K Noh, M Shin, J Park, KH Lee, H Nam… - Scientific Reports, 2018 - nature.com
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 …

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 …

Gaining insight into off-target mediated effects of drug candidates with a comprehensive systems chemical biology analysis

J Scheiber, B Chen, M Milik, SCK Sukuru… - Journal of chemical …, 2009 - ACS Publications
We present a workflow that leverages data from chemogenomics based target predictions
with Systems Biology databases to better understand off-target related toxicities. By …