数据链接：
官方服务：
资源简介：
Cardiotoxic and not compounds based on Chembl-filtered dataset
应用场景：
创建时间：
2022-03-02
相关数据集
Machine learning and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study
Cardiotoxicity is a major cause of drug withdrawal. The hERG channel, regulating ion flow, is pivotal for heart and nervous system function. Its blockade is a concern in drug development. Predicting h
DataCite Commons2024-07-24 更新110
Left Ventricular Regional Wall Motion Abnormality is a Strong Predictor of Cardiotoxicity in Breast Cancer Patients Undergoing Chemotherapy
Abstract Background: Chemotherapeutic agents of anthracyclines class and humanized monoclonal antibodies are effective treatments for breast cancer, however, they present a potential risk of cardiotox
DataCite Commons2020-08-27 更新70
Highly curated Nav1.5 dataset of 1723 unique molecular compounds with corresponding potency values
This dataset was built during a research project, in the field of Computer-Aided Drug Discovery (CADD), funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery gran
NIAID Data Ecosystem40
Complex versus Simple Models: ion-channel cardiac toxicity prediction
Presentation given at Oxford meeting which was entitled: Is there a case for model reduction
DataCite Commons2020-09-03 更新80
In-depth mechanistic analysis including high-throughput RNA sequencing in the prediction of functional and structural cardiotoxicants using hiPSC cardiomyocytes
Cardiotoxicity remains one of the most reported adverse drug reactions that lead to drug attrition during pre-clinical and clinical drug development. Drug-induced cardiotoxicity may develop as a funct
DataCite Commons2024-07-24 更新50
