RAPiDock

This is RAPiDock version 2.0. Feel free to contact me if you have any questions. Here, we provide two pre-trained models for RAPiDock, tailored for local docking and global docking scenarios, respectively. Additionally, we offer several processed datasets, including two primary test sets for model performance evaluation: RefPepDB-RecentSet and PepSet (the latter derived from the work of Weng et al. http://cadd.zju.edu.cn/pepset/). We also provide datasets for extensive case analyses, covering four key application scenarios: PLK-PBD, SHP2, Import-a, and pHLA.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-29
DOI
https://doi.org/10.5281/zenodo.13469111
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

RAPiDock

Zenodo (CERN European Organization for Nuclear Research)
Natural Language Processing Techniques
article

RAPiDock

article en

Abstract

This is RAPiDock version 2.0. Feel free to contact me if you have any questions. Here, we provide two pre-trained models for RAPiDock, tailored for local docking and global docking scenarios, respectively. Additionally, we offer several processed datasets, including two primary test sets for model performance evaluation: RefPepDB-RecentSet and PepSet (the latter derived from the work of Weng et al. http://cadd.zju.edu.cn/pepset/). We also provide datasets for extensive case analyses, covering four key application scenarios: PLK-PBD, SHP2, Import-a, and pHLA.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 59%
Natural Language Processing Techniques
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RAPiDock · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS