Raw Data for the Manuscript Titled "Can Current Molecular Docking Methods Accurately Predict RNA Inhibitors?"

Name: Raw Data for the Manuscript Titled "Can Current Molecular Docking Methods Accurately Predict RNA Inhibitors?"
Creator: University of Cambridge; Swinburne University of Technology Sarawak Campus
Published: 2024-06-06T00:00:00+08:00

Zenodo2024-06-06 更新2026-04-07 收录

RNA抑制剂预测

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数据链接：

https://zenodo.org/doi/10.5281/zenodo.10633600 数据链接链接失效反馈

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资源简介：

This is the additional data for the manuscript titled "Can Current Molecular Docking Methods Accurately Predict RNA Inhibitors?". These files include (a) The docked scores for scoring potential analysis, (b) The docked scores for ranking potential analysis, (c) The top five docked poses from each docking method (AutoDock Vina, HADDOCK, HDOCK and RLDOCK) and (d) The Molecular Dynamics (MD) simulation parameter and topology files used for pose refinment.

提供机构：

University of Cambridge; Swinburne University of Technology Sarawak Campus

创建时间：

2024-06-06