Evidence map›Paper›PMID 29168093›Full record

ArticleMolecular diversity2018

Application of two-dimensional binary fingerprinting methods for the design of selective Tankyrase I inhibitors.

B S Muddukrishna, Vasudev Pai, Richard Lobo, Aravinda Pai

Abstract read
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In one paragraph

Article in Molecular diversity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

B S MuddukrishnaDepartment of Pharmaceutical Quality Assurance, Manipal College of Pharmaceutical Sciences (MCOPS), Manipal University, Manipal, Karnataka, India.
Vasudev PaiDepartment of Pharmacognosy, Manipal College of Pharmaceutical Sciences (MCOPS), Manipal University, Manipal, Karnataka, India.
Richard LoboDepartment of Pharmacognosy, Manipal College of Pharmaceutical Sciences (MCOPS), Manipal University, Manipal, Karnataka, India.
Aravinda PaiDepartment of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences (MCOPS), Manipal University, Manipal, Karnataka, 576 104, India. aravind.pai@manipal.edu.
Manipal Academy of Higher Education · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, five important binary fingerprinting techniques were used to model novel flavones for the selective inhibition of Tankyrase I. From the fingerprints used: the fingerprint atom pairs resulted in a statistically significant 2D QSAR model using a kernel-based partial least square regression method. This model indicates that the presence of electron-donating groups positively contributes to activity, whereas the presence of electron withdrawing groups negatively contributes to activity. This model could be used to develop more potent as well as selective analogues for the inhibition of Tankyrase I. Schematic representation of 2D QSAR work flow.

Indexed as

Drug DesignInformaticsEnzyme InhibitorsTankyrasesEnzyme InhibitorsTankyrases2D QSARBinary fingerprintsDescriptorsTankyrase

Identifiers

PMID29168093
OpenAlexW2770892294

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.