A perspective on the sharing of docking data ✩

被引:0
|
作者
Aci-Seche, Samia [1 ]
Bourg, Stephane [1 ]
Bonnet, Pascal [1 ]
Rebehmed, Joseph [2 ]
de Brevern, Alexandre G. [3 ,4 ,5 ]
Diharce, Julien [3 ,4 ,5 ]
机构
[1] Univ Orleans, CNRS, UMR 7311, Inst Chim Organ & Analyt ICOA, BP 6759, F-45067 Orleans 2, France
[2] Amer Univ, Dept Comp Sci & Math, Beirut, Lebanon
[3] Univ Paris Cite, F-75014 Paris, France
[4] Univ Antilles, F-75014 Paris, France
[5] Univ Reunion, INSERM, DSIMB Bioinformat Team, Biol Integree Globule Rouge,UMR S 1134, F-75014 Paris, France
来源
DATA IN BRIEF | 2023年 / 49卷
关键词
3D coordinates; Docking; Files; SDF; Sharing; FAIR principles; PROTEIN; PREDICTION; LIGANDS;
D O I
10.1016/j.dib.2023.109386
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Computational approaches are nowadays largely applied in drug discovery projects. Among these, molecular docking is the most used for hit identification against a drug target protein. However, many scientists in the field shed light on the lack of availability and reproducibility of the data obtained from such studies to the whole community. Consequently, sustaining and developing the efforts toward a large and fully transparent sharing of those data could be beneficial for all researchers in drug discovery. The purpose of this article is first to propose guidelines and recommendations on the appropriate way to conduct virtual screening experiments and second to depict the current state of sharing molecular docking data. In conclusion, we have explored and proposed several prospects to enhance data sharing from docking experiment that could be developed in the foreseeable future.& COPY; 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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页数:11
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