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Springer Nature
Lecture Notes in Computer Science
,  pages 686-698

Optimization of the Workflow in a BOINC-Based Desktop Grid for Virtual Drug Screening

Publication type: Book Chapter
Publication date: 2022-12-15
Springer Nature
scimago Q2
SJR: 0.352
CiteScore: 2.4
Impact factor: —
ISSN: 03029743, 16113349, 18612075, 18612083
Abstract
This paper presents an analysis of a BOINC-based volunteer computing project SiDock@home. The project implements virtual drug screening. We analyse the employed workflow describing the processes of task generation, results creation, validation and assimilation. Basing on this analysis, we propose an optimized workflow aimed at minimization of computing intensity and scaling up the granularity of the results.
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Nikitina N., Ivashko E. Optimization of the Workflow in a BOINC-Based Desktop Grid for Virtual Drug Screening // Lecture Notes in Computer Science. 2022. pp. 686-698.
GOST all authors (up to 50) Copy
Nikitina N., Ivashko E. Optimization of the Workflow in a BOINC-Based Desktop Grid for Virtual Drug Screening // Lecture Notes in Computer Science. 2022. pp. 686-698.
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RIS Copy
TY - GENERIC
DO - 10.1007/978-3-031-22941-1_50
UR - https://doi.org/10.1007/978-3-031-22941-1_50
TI - Optimization of the Workflow in a BOINC-Based Desktop Grid for Virtual Drug Screening
T2 - Lecture Notes in Computer Science
AU - Nikitina, Natalia
AU - Ivashko, Evgeny
PY - 2022
DA - 2022/12/15
PB - Springer Nature
SP - 686-698
SN - 0302-9743
SN - 1611-3349
SN - 1861-2075
SN - 1861-2083
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2022_Nikitina,
author = {Natalia Nikitina and Evgeny Ivashko},
title = {Optimization of the Workflow in a BOINC-Based Desktop Grid for Virtual Drug Screening},
publisher = {Springer Nature},
year = {2022},
pages = {686--698},
month = {dec}
}