Evidence map›Paper›PMID 26770027›Full record

ArticleBioinformation2015

Shape based virtual screening and molecular docking towards designing novel pancreatic lipase inhibitors.

Ganesh Kumar Veeramachaneni, K Kranthi Raj, Leela Madhuri Chalasani, Sai Krishna Annamraju, Bondili Js, Venkateswara Rao Talluri

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 47 citations in OpenAlex.

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  5. Papaverinol-Molecules (Basel, Switzerland) · 2023
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  9. Cocoa (Foods (Basel, Switzerland) · 2020
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  10. Animal models and experimental medicine · 2020
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  11. Effect ofSaudi journal of biological sciences · 2019
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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 at 2 institutions in 1 country.

Ganesh Kumar VeeramachaneniDepartment of Biotechnology, K L E F University, Green Fields, Vaddeswaram, 522 502, Guntur (Dt.), A.P, India.
K Kranthi RajDepartment of Biotechnology, K L E F University, Green Fields, Vaddeswaram, 522 502, Guntur (Dt.), A.P, India.
Leela Madhuri ChalasaniDepartment of Biotechnology, K L E F University, Green Fields, Vaddeswaram, 522 502, Guntur (Dt.), A.P, India.
Sai Krishna AnnamrajuDepartment of Biotechnology, K L E F University, Green Fields, Vaddeswaram, 522 502, Guntur (Dt.), A.P, India.
Bondili JsDepartment of Biotechnology, K L E F University, Green Fields, Vaddeswaram, 522 502, Guntur (Dt.), A.P, India.
Venkateswara Rao TalluriDepartment of Biotechnology, K L E F University, Green Fields, Vaddeswaram, 522 502, Guntur (Dt.), A.P, India; Prof. TNA Innovation Center, VBTIPL, Sy no. 253/A, Jiblakpally, Pochampally, 508 284, Nalgonda (Dist), Telangana, India.
Koneru Lakshmaiah Education Foundation · INDepartment of Biotechnology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increase in obesity rates and obesity associated health issues became one of the greatest health concerns in the present world population. With alarming increase in obese percentage there is a need to design new drugs related to the obesity targets. Among the various targets linked to obesity, pancreatic lipase was one of the promising targets for obesity treatment. Using the in silico methods like structure based virtual screening, QikProp, docking studies and binding energy calculations three molecules namely zinc85531017, zinc95919096 and zinc33963788 from the natural database were reported as the potential inhibitors for the pancreatic lipase. Among them zinc95919096 presented all the interactions matching to both standard and crystal ligand and hence it can be further proceeded to drug discovery process.

Identifiers

PMID26770027
PMCPMC4702031
OpenAlexW2433339928

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.