首页/数据集/Performance of the AVPpred and EAPpred models training set V<sup>75p+75n</sup>.

Performance of the AVPpred and EAPpred models training set V<sup>75p+75n</sup>.

NIAID Data Ecosystem2026-03-09 收录

数据链接：

https://figshare.com/articles/dataset/_Performance_of_the_AVPpred_and_EAPpred_models_training_set_V_75p_75n_/1619587 数据链接链接失效反馈

官方服务：

资源简介：

Performance of the AVPpred and EAPpred models training set V75p+75n.

应用场景：

创建时间：

2015-12-04

活性预测

化学机器学习

The data contains all data and code needed to reproduce the results of the manuscript "A Machine Learning Framework for the Analysis and Prediction of Catalytic Activity from Experimental Data."

NIAID Data Ecosystem30

Performance of AVPpred and EAPpred models on independent test set V26p+26n.

抗病毒肽预测

抗菌肽预测

Performance of AVPpred and EAPpred models on independent test set V26p+26n.

Figshare2016-02-22 更新20

Binding Space Concept: A New Approach To Enhance the Reliability of Docking Scores and Its Application to Predicting Butyrylcholinesterase Hydrolytic Activity

分子对接

活性预测

Docking simulations are very popular approaches able to assess the capacity of a given ligand to interact with a target. Docking simulations are usually focused on a single best complex even though ma

Figshare2017-07-10 更新10

Analysis and Prediction of Highly Effective Antiviral Peptides Based on Random Forests

抗病毒肽预测

生物信息学

The goal of this study was to examine and predict antiviral peptides. Although antiviral peptides hold great potential in antiviral drug discovery, little is done in antiviral peptide prediction. In t

NIAID Data Ecosystem30

Replication data of Buchmeiser group for: "Predicting Catalytic Activity from...

电催化性能测试

活性预测

All primary data files of measurements and processed data of the journal article mentioned under related publications from Buchmeiser group can be found here. Novel cationic...

B2FIND10

Performance of the AVPpred and EAPpred models training set V<sup>75p+75n</sup>.

资源简介：

相关数据集