Evidence map›Paper›PMID 27565794›Full record

ArticleJournal of computer-aided molecular design2016

Yada: a novel tool for molecular docking calculations.

S Piotto, L Di Biasi, R Fino, R Parisi, L Sessa, S Concilio

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Article in Journal of computer-aided molecular design, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

S PiottoDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy. piotto@unisa.it.ORCID 0000-0002-3102-1918
L Di BiasiDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy.
R FinoDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy.
R ParisiDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy.
L SessaDepartment of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy.
S ConcilioDepartment of Industrial Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular docking is a computational method employed to estimate the binding between a small ligand (the drug candidate) and a protein receptor that has become a standard part of workflow in drug discovery. Generally, when the binding site is known and a molecule is similar to known ligands, the most popular docking methods are rather accurate in the prediction of the geometry. Unfortunately, when the binding site is unknown, the blind docking analysis requires large computational resources and the results are often not accurate. Here we present Yada, a new tool for molecular docking that is capable to distribute efficiently calculations onto general purposes computer grid and that combines biological and structural information of the receptor. Yada is available for Windows and Linux and it is free to download at www.yada.unisa.it .

Indexed as

AlgorithmsBinding SitesDrug DiscoveryGlutathione TransferaseLigandsMolecular Docking SimulationProtein BindingProtein ConformationGlutathione TransferaseLigandsMolecular dockingPhylogenetic informationSequence conservationYada

Identifiers

What OpenQuestion holds

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Registered trials

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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.