相关数据集
Expression data in HK-2 cells following exposure to all conditions
Background: The development of a new drug from candidate to market is a complex process requiring vast resources of time, money and personnel. The rate of failure in the development pipeline is enormo
NIAID Data Ecosystem100
A systems toxicology approach for the prediction of kidney toxicity and its mechanisms in vitro
The failure to predict kidney toxicity of new chemical entities early in the development process before they reach humans remains a critical issue. Here, we used primary human kidney cells and applied
NIAID Data Ecosystem60
Expression data in HK-2 cells following exposure to Kbr_ld. Homo sapiens
Background: The development of a new drug from candidate to market is a complex process requiring vast resources of time, money and personnel. The rate of failure in the development pipeline is enormo
NIAID Data Ecosystem40
The code related to the DNN model, as well as the optimal model
The code contains a DNN model with six types of fingerprints. Meanwhile, the optimal model DNN-ECFP_6, available as an h5 file, can be used accordingly.
科学数据银行2025-08-17 更新60
DataSheet1_In Silico Prediction and Insights Into the Structural Basis of Drug Induced Nephrotoxicity.DOCX
Drug induced nephrotoxicity is a major clinical challenge, and it is always associated with higher costs for the pharmaceutical industry and due to detection during the late stages of drug development
NIAID Data Ecosystem60
