InterPred
收藏国家生物信息中心2025-10-11 更新2025-03-15 收录
下载链接：
https://sandbox.ntp.niehs.nih.gov/interferences
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资源简介：
InterPred is a platform to predict such interference chemicals based on the first large-scale chemical screening effort to directly characterize chemical-assay interference, using assays in the Tox21 portfolio specifically designed to measure autofluorescence and luciferase inhibition. InterPred combines 17 quantitative structure activity relationship (QSAR) models built using optimized machine learning techniques and allows users to predict the probability that a new chemical will interfere with different combinations of cellular and technology conditions. InterPred models have been applied to the entire Distributed Structure-Searchable Toxicity (DSSTox) Database (∼800,000 chemicals).
提供机构：
National Institute of Environmental Health Sciences
创建时间：
2020-11-06
