Evidence map›Paper›PMID 35039800›Full record

ArticleCCF transactions on high performance computing2022

Molecular docking-based computational platform for high-throughput virtual screening.

Baohua Zhang, Hui Li, Kunqian Yu, Zhong Jin

Abstract read
In one paragraph

Article in CCF transactions on high performance computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

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  19. Network Pharmacology andCurrent pharmaceutical design · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Baohua ZhangComputer Network Information Center, Chinese Academy of Sciences, Beijing, 100190 China.ORCID 0000-0002-6943-0485
Hui LiShanghai Institute of Materia Medica Chinese Academy of Sciences, Shanghai, 201203 China.
Kunqian YuShanghai Institute of Materia Medica Chinese Academy of Sciences, Shanghai, 201203 China.
Zhong JinComputer Network Information Center, Chinese Academy of Sciences, Beijing, 100190 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structure-based virtual screening is a key, routine computational method in computer-aided drug design. Such screening can be used to identify potentially highly active compounds, to speed up the progress of novel drug design. Molecular docking-based virtual screening can help find active compounds from large ligand databases by identifying the binding affinities between receptors and ligands. In this study, we analyzed the challenges of virtual screening, with the aim of identifying highly active compounds faster and more easily than is generally possible. We discuss the accuracy and speed of molecular docking software and the strategy of high-throughput molecular docking calculation, and we focus on current challenges and our solutions to these challenges of ultra-large-scale virtual screening. The development of Web services helps lower the barrier to drug virtual screening. We introduced some related web sites for docking and virtual screening, focusing on the development of pre- and post-processing interactive visualization and large-scale computing.

Indexed as

Molecular dockingSupercomputingUltra-large-scale computingVirtual screening

Identifiers

PMID35039800
PMCPMC8754542

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.