Evidence map›Paper›PMID 23005250›Full record

ArticleJournal of chemical information and modeling2012

Protein flexibility in virtual screening: the BACE-1 case study.

Sandro Cosconati, Luciana Marinelli, Francesco Saverio Di Leva, Valeria La Pietra, Angela De Simone, Francesca Mancini, Vincenza Andrisano, Ettore Novellino, David S Goodsell, Arthur J Olson

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  4. Energy penalties enhance flexible receptor docking in a model cavity.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. Review
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  13. DOCK 6: Impact of new features and current docking performance.Journal of computational chemistry · 2015
    Article
  14. Review
  15. Article
  16. 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

10 authors.

Sandro CosconatiDipartimento Scienze e Tecnologie Ambientali, Biologiche e Farmaceutiche, Seconda Università di Napoli, Via Vivaldi 43, 81100 Caserta, Italy.
Luciana Marinelli
Francesco Saverio Di Leva
Valeria La Pietra
Angela De Simone
Francesca Mancini
Vincenza Andrisano
Ettore Novellino
David S Goodsell
Arthur J Olson

Funding

AutoDock Suite: Next Generation Environment for Drug DesignR01GM069832 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI FORLI, STEFANO · 2004 to 2025
$10.9M
NIGMS NIH HHS 5R01 GM069832NIGMS NIH HHS R01 GM069832
6 · The paper itself

Abstract

Simulating protein flexibility is a major issue in the docking-based drug-design process for which a single methodological solution does not exist. In our search of new anti-Alzheimer ligands, we were faced with the challenge of including receptor plasticity in a virtual screening campaign aimed at finding new β-secretase inhibitors. To this aim, we incorporated protein flexibility in our simulations by using an ensemble of static X-ray enzyme structures to screen the National Cancer Institute database. A unified description of the protein motion was also generated by computing and combining a set of grid maps using an energy weighting scheme. Such a description was used in an energy-weighted virtual screening experiment on the same molecular database. Assessment of the enrichment factors from these two virtual screening approaches demonstrated comparable predictive powers, with the energy-weighted method being faster than the ensemble method. The in vitro evaluation demonstrated that out of the 32 tested ligands, 17 featured the predicted enzyme inhibiting property. Such an impressive success rate (53.1%) demonstrates the enhanced power of the two methodologies and suggests that energy-weighted virtual screening is a more than valid alternative to ensemble virtual screening given its reduced computational demands and comparable performance.

Indexed as

AlgorithmsMolecular Docking SimulationUser-Computer InterfaceAlzheimer DiseaseAmyloid Precursor Protein SecretasesAntiparkinson AgentsAspartic Acid EndopeptidasesBinding SitesCrystallography, X-RayDatabases, ChemicalDrug DiscoveryFluorescence Resonance Energy TransferHigh-Throughput Screening AssaysHumansLigandsProtein BindingAmyloid Precursor Protein SecretasesAntiparkinson AgentsAspartic Acid EndopeptidasesBACE1 protein, humanLigands

Identifiers

PMID23005250
PMCPMC3523752

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.