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资源简介：
Qualitative model predicting the inhibition of SERT
应用场景：
创建时间：
2025-03-07
相关数据集
targets of 4-CQA obtained from PharmMapper.csv
targets of 4-CQA obtained from PharmMapper
Figshare2019-08-29 更新70
QSAR-DATASET-FOR-DRUG-TARGET-CHEMBL2951
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target ChEMBL_ID: CHEMBL2951 (TID: 12186), and it has 22 rows and 1
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AUPR scores and standard deviations on double orphan LOO-CV , balanced number of positive and randomly chosen negative test samples.
AUPR scores and standard deviations on double orphan LOO-CV, balanced number of positive and randomly chosen negative test samples.
NIAID Data Ecosystem40
targets of 3-CQA obtained from PharmMapper.csv
targets of 3-CQA obtained from PharmMapper
Figshare2019-08-29 更新60
A Tunable Coarse-Grained Model for Ligand-Receptor Interaction
Cell-surface receptors are the most common target for therapeutic drugs. The design and optimization of next generation synthetic drugs require a detailed understanding of the interaction with their c
Figshare2016-01-18 更新40
