Predictors of grade 3 or 4 transaminase elevations (TE).

NIAID Data Ecosystem2026-03-09 收录

药物肝毒性预测

病毒性肝炎临床研究

数据链接：

https://figshare.com/articles/dataset/Predictors_of_grade_3_or_4_transaminase_elevations_TE_/3390373 数据链接链接失效反馈

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资源简介：

Predictors of grade 3 or 4 transaminase elevations (TE).

创建时间：

2016-05-20

DataSheet2_In vitro to in vivo acetaminophen hepatotoxicity extrapolation using classical schemes, pharmacodynamic models and a multiscale spatial-temporal liver twin.PDF

药物肝毒性预测

多尺度毒理建模

In vitro to in vivo extrapolation represents a critical challenge in toxicology. In this paper we explore extrapolation strategies for acetaminophen (APAP) based on mechanistic models, comparing class

NIAID Data Ecosystem80

Demographic, clinical and laboratory data of HCV positive not-transplanted patients.

病毒性肝炎临床研究

患者特征分析

Demographic, clinical and laboratory data of HCV positive not-transplanted patients.

NIAID Data Ecosystem30

Ensemble Models Based on QuBiLS-MAS Features and Shallow Learning for the Prediction of Drug-Induced Liver Toxicity: Improving Deep Learning and Traditional Approaches

药物肝毒性预测

计算毒理学

Drug-induced liver injury (DILI) is a key safety issue in the drug discovery pipeline and a regulatory concern. Thus, many in silico tools have been proposed to improve the hepatotoxicity prediction o

NIAID Data Ecosystem30

Data from: Identification of any structure-specific hepatotoxic potential of different pyrrolizidine alkaloids using Random Forest and artificial Neural Network

药物肝毒性预测

构效关系

Pyrrolizidine alkaloids (PAs) are characteristic metabolites of some plant families and form a powerful defence mechanism against herbivores. More than 600 different PAs are known. PAs are ester alkal

DataONE2017-09-05 更新80

figsharedata_epistem.csv

病毒性肝炎临床研究

病原机制研究

Data for the STOP-HCV-1 Epistem substudy

DataCite Commons2025-05-01 更新30