Performance of previous works.

NIAID Data Ecosystem2026-03-06 收录

生物活性预测

生物信息学分类

数据链接：

https://figshare.com/articles/dataset/_Performance_of_previous_works_/498045 数据链接链接失效反馈

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This table summarizes the performance of several classification methods used on the BBB, P-gp and estrogen problems.

创建时间：

2010-09-23

Performance of SVM based models using amino acid composition as input feature on nine terminus datasets.

蛋白质预测

生物信息学分类

Sn: Sensitivity; Sp: Specificity; Acc: Accuracy; MCC: Matthew’s Correlation Coefficient. Performance of SVM based models using amino acid composition as input feature on nine terminus datasets.

NIAID Data Ecosystem70

Table_1_Systems Chemical Genetics-Based Drug Discovery: Prioritizing Agents Targeting Multiple/Reliable Disease-Associated Genes as Drug Candidates.xlsx

药物靶点发现

生物活性预测

Genetic disease genes are considered a promising source of drug targets. Most diseases are caused by more than one pathogenic factor; thus, it is reasonable to consider that chemical agents targeting

NIAID Data Ecosystem30

QSAR-TID-10928

药物设计

生物活性预测

**Author**: Dr Ivan Olier, Dr Jeremy Besnard, Dr Noureddin Sadawi, Dr Larisa Soldatova, Dr Crina Grosan, Prof Ross King, Dr Richard Bickerton, Prof Andrew Hopkins and Dr Willem van Hoorn **Source**:

OpenML2015-10-06 更新10

A deep learning model based on the BERT pre-trained model to predict the antiproliferative activity of anti-cancer chemical compounds

生物活性预测

抗癌药物筛选

Identifying new compounds with minimal side effects to enhance patients’ quality of life is the ultimate goal of drug discovery. Due to the expensive and time-consuming nature of experimental investig

Figshare2024-11-28 更新40

Additional file 1 of Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributes

适配体-蛋白质相互作用预测

生物信息学分类

The benchmark dataset. The training dataset contains 580 positive and 1740 negative samples while the independent testing dataset consists of 145 positive and 435 negative samples. (XLS 441 kb)

Figshare2016-12-15 更新30

Performance of previous works.

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