An overview of machine learning and big data for drug toxicity evaluation
Drug toxicity evaluation is an essential process of drug development as it is reportedly
responsible for the attrition of approximately 30% of drug candidates. The rapid increase in …
responsible for the attrition of approximately 30% of drug candidates. The rapid increase in …
Open Targets Platform: supporting systematic drug–target identification and prioritisation
Abstract The Open Targets Platform (https://www. targetvalidation. org/) provides users with
a queryable knowledgebase and user interface to aid systematic target identification and …
a queryable knowledgebase and user interface to aid systematic target identification and …
Today's challenges to de-risk and predict drug safety in human “mind-the-gap”
RJ Weaver, JP Valentin - Toxicological Sciences, 2019 - academic.oup.com
Current gaps in drug safety sciences can result from the inability (1) to identify hazard across
multiple target organs,(2) to predict and risk assess with certainty against drug safety …
multiple target organs,(2) to predict and risk assess with certainty against drug safety …
[HTML][HTML] Paving the way for application of next generation risk assessment to safety decision-making for cosmetic ingredients
MP Dent, E Vaillancourt, RS Thomas… - Regulatory Toxicology …, 2021 - Elsevier
Next generation risk assessment (NGRA) is an exposure-led, hypothesis-driven approach
that has the potential to support animal-free safety decision-making. However, significant …
that has the potential to support animal-free safety decision-making. However, significant …
Large-scale RNAi screening uncovers therapeutic targets in the parasite Schistosoma mansoni
Schistosome parasites kill 250,000 people every year. Treatment of schistosomiasis relies
on the drug praziquantel. Unfortunately, a scarcity of molecular tools has hindered the …
on the drug praziquantel. Unfortunately, a scarcity of molecular tools has hindered the …
[HTML][HTML] Using chemical and biological data to predict drug toxicity
Various sources of information can be used to better understand and predict compound
activity and safety-related endpoints, including biological data such as gene expression and …
activity and safety-related endpoints, including biological data such as gene expression and …
Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology
Abstract Background Adverse drug reactions (ADRs) are one of the leading causes of
morbidity and mortality in health care. Understanding which drug targets are linked to ADRs …
morbidity and mortality in health care. Understanding which drug targets are linked to ADRs …
Novel computational approach to predict off-target interactions for small molecules
MS Rao, R Gupta, MJ Liguori, M Hu, X Huang… - Frontiers in big …, 2019 - frontiersin.org
Most small molecule drugs interact with unintended, often unknown, biological targets and
these off-target interactions may lead to both preclinical and clinical toxic events. Undesired …
these off-target interactions may lead to both preclinical and clinical toxic events. Undesired …
The challenges of predicting drug-induced QTc prolongation in humans
JP Valentin, P Hoffmann… - Toxicological …, 2022 - academic.oup.com
The content of this article derives from a Health and Environmental Sciences Institute (HESI)
consortium with a focus to improve cardiac safety during drug development. A detailed …
consortium with a focus to improve cardiac safety during drug development. A detailed …
Assessing the interplay between off-target promiscuity, cytotoxicity, and tolerability in rodents to improve the safety profile of novel anti-malarial plasmepsin X inhibitors
HHJ Gerets, A Delaunois, A Cardenas… - Toxicological …, 2024 - academic.oup.com
Within drug development, high off-target promiscuity as well as potent cytotoxicity, are
associated with a high attrition rate. We investigated the safety profile of novel plasmepsin X …
associated with a high attrition rate. We investigated the safety profile of novel plasmepsin X …