Evidence map›Paper›PMID 27190510›Full record

ArticleAdvances in bioinformatics2016

Molecular Docking and In Silico ADMET Study Reveals Acylguanidine 7a as a Potential Inhibitor of β-Secretase.

Chaluveelaveedu Murleedharan Nisha, Ashwini Kumar, Prateek Nair, Nityasha Gupta, Chitrangda Silakari, Timir Tripathi, Awanish Kumar

Open access · hybridAbstract read
In one paragraph

Article in Advances in bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.2field-weighted citation impact, top 4% of its field
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

30 citing papers in PubMed, 136 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Chaluveelaveedu Murleedharan NishaDepartment of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh 492010, India.
Ashwini KumarDepartment of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh 492010, India.
Prateek NairDepartment of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh 492010, India.
Nityasha GuptaDepartment of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh 492010, India.
Chitrangda SilakariDepartment of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh 492010, India.
Timir TripathiMolecular and Structural Biophysics Laboratory, Department of Biochemistry, North Eastern Hill University, Shillong 793022, India.
Awanish KumarDepartment of Biotechnology, National Institute of Technology, Raipur, Chhattisgarh 492010, India.
National Institute of Technology Raipur · INNorth Eastern Hill University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyloidogenic pathway in Alzheimer's disease (AD) involves breakdown of APP by β-secretase followed by γ-secretase and results in formation of amyloid beta plaque. β-secretase has been a promising target for developing novel anti-Alzheimer drugs. To test different molecules for this purpose, test ligands like acylguanidine 7a, rosiglitazone, pioglitazone, and tartaric acid were docked against our target protein β-secretase enzyme retrieved from Protein Data Bank, considering MK-8931 (phase III trial, Merck) as the positive control. Docking revealed that, with respect to their free binding energy, acylguanidine 7a has the lowest binding energy followed by MK-8931 and pioglitazone and binds significantly to β-secretase. In silico ADMET predictions revealed that except tartaric acid all other compounds had minimal toxic effects and had good absorption as well as solubility characteristics. These compounds may serve as potential lead compound for developing new anti-Alzheimer drug.

Identifiers

PMID27190510
PMCPMC4842033
OpenAlexW2321239348

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.