Evidence map›Paper›PMID 31390205›Full record

ArticleJournal of chemical information and modeling2019

De Novo Prediction of Binders and Nonbinders for T4 Lysozyme by gREST Simulations.

Ai Niitsu, Suyong Re, Hiraku Oshima, Motoshi Kamiya, Yuji Sugita

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  9. ACES: Optimized Alchemically Enhanced Sampling.Journal of chemical theory and computation · 2023
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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

5 authors.

Ai NiitsuTheoretical Molecular Science Laboratory , RIKEN Cluster for Pioneering Research , Hirosawa 2-1 , Wako , Saitama 351-0198 , Japan.
Suyong ReLaboratory for Biomolecular Function Simulation , RIKEN Center for Biosystems Dynamics Research , 6-7-1 Minatojima-minamimachi , Chuo-ku, Kobe 650-0047 , Japan.
Hiraku OshimaLaboratory for Biomolecular Function Simulation , RIKEN Center for Biosystems Dynamics Research , 6-7-1 Minatojima-minamimachi , Chuo-ku, Kobe 650-0047 , Japan.
Motoshi KamiyaComputational Biophysics Research Team , RIKEN Center for Computational Science , 6-7-1 Minatojima-minamimachi , Chuo-ku, Kobe 650-0047 , Japan.
Yuji SugitaTheoretical Molecular Science Laboratory , RIKEN Cluster for Pioneering Research , Hirosawa 2-1 , Wako , Saitama 351-0198 , Japan.ORCID 0000-0001-9738-9216

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular recognition underpins all specific protein-ligand interactions and is essential for biomolecular functions. The prediction of canonical binding poses and distinguishing binders from nonbinders are much sought after goals. Here, we apply the generalized replica exchange with solute tempering method, gREST, combined with a flat-bottom potential to evaluate binder and nonbinder interactions with a T4 lysozyme Leu99Ala mutant. The buried hydrophobic cavity and possibility of coupled conformational changes in this protein make binding predictions difficult. The present gREST simulations, enabling enhanced flexibilities of the ligand and protein residues near the binding site, sample bindings in multiple poses, and correct portrayal of X-ray structures. The free-energy profiles of binders (benzene, ethylbenzene, and

Indexed as

Molecular Dynamics SimulationBacteriophage T4Benzene DerivativesMuramidaseProtein BindingProtein ConformationThermodynamicsBenzene DerivativesMuramidase

Identifiers

PMID31390205
PMCPMC11995371

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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.