Evidence map›Paper›PMID 28149046›Full record

ArticleBioinformation2016

Virtual screening of RAGE inhibitors using molecular docking.

Malini Devi Alaparthi, Gudipudi Gopinath, Srinivas Bandaru, Venu Sankeshi, Madhavi Mangalarapu, Swetha Sudha Nagamalla, Kota Sudhakar, Anupalli Roja Rani, Someswar Rao Sagurthi

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  3. IntegrativeFrontiers in pharmacology · 2025
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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

9 authors at 1 institution in 1 country.

Malini Devi AlaparthiDepartment of Genetics & Biotechnology, Osmania University, Hyderabad, Telangana, India.
Gudipudi GopinathDepartment of Genetics & Biotechnology, Osmania University, Hyderabad, Telangana, India.
Srinivas BandaruDepartment of Genetics & Biotechnology, Osmania University, Hyderabad, Telangana, India.
Venu SankeshiDepartment of Genetics & Biotechnology, Osmania University, Hyderabad, Telangana, India.
Madhavi MangalarapuDepartment of Genetics & Biotechnology, Osmania University, Hyderabad, Telangana, India.
Swetha Sudha NagamallaDepartment of Genetics & Biotechnology, Osmania University, Hyderabad, Telangana, India.
Kota SudhakarDepartment of Genetics & Biotechnology, Osmania University, Hyderabad, Telangana, India.
Anupalli Roja RaniDepartment of Genetics & Biotechnology, Osmania University, Hyderabad, Telangana, India.
Someswar Rao SagurthiDepartment of Genetics & Biotechnology, Osmania University, Hyderabad, Telangana, India.
Osmania University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced Glycation End products (AGEs) interaction with Receptor for AGEs (RAGE) activates downstream signaling and evokes inflammatory responses in vascular cells. Therefore, it is of interest to design a novel series of molecules with a library of 352 compounds based on natural Isoflavone and Argpyrimidine moities. The compounds screened against the optimized structure of RAGE (PDB code: 3CJJ) using MolDock aided with molecular docking algorithm. This exercise identified compound number 62 with appreciable ADME properties having no toxicity and pharmacophore features. Therefore, compound 62 identified as a RAGE inhibitor is proposed for further validation in the context of Diabetic Retinopathy (DR) and vascular complications.

Indexed as

ADMET predictionmolecular dockingRAGE

Identifiers

PMID28149046
PMCPMC5267955
OpenAlexW2482715573

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.