Evidence map›Paper›PMID 30810849›Full record

ArticleJournal of bioenergetics and biomembranes2019

3D structure prediction of VAPC1 and identification of dual natural inhibitors for VPAC1 and EGFR.

Avipsha Sarkar, Shampa Sen

Abstract read
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In one paragraph

Article in Journal of bioenergetics and biomembranes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 7 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

2 authors at 1 institution in 1 country.

Avipsha SarkarSchool of Bio Sciences & Technology, VIT, Vellore, Tamil Nadu, 632014, India.
Shampa SenSchool of Bio Sciences & Technology, VIT, Vellore, Tamil Nadu, 632014, India. shampa.vitu@gmail.com.
Vellore Institute of Technology University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vasoactive intestinal polypeptide receptor 1 (VPAC1) and epidermal growth factor receptor (EGFR) are associated with signal transduction pathways relevant to neuroblastoma, cancer of breast, prostate and lungs. In order to identify appropriate ligand analogues for simultaneous inhibition of EGFR and VPAC1, in-silico homology modelling of VPAC1 and its characterization by molecular interaction studies have been undertaken. Homology modelling was performed with the Swiss Model and validation of the predicted 3D structure was carried out using PROCHECK and RAMPAGE. Ramachandran's plot of the predicted structure from this two software revealed that 92% and 94% of the residues were in the most favoured region, respectively. Compounds screened from Naturally Occurring Plant-based Anti-Cancerous Compound-Activity-Target (NPACT) database having strong interactions with EGFR were further checked for ADMET properties. Molecular interaction studies revealed four compounds namely Fisetin, Genistein, Tectorigenin, and Tephrosin docked with VPAC1 having respective binding energies of -7.1, -6.98, -6.9 and - 6.61 kcal/mol. Fisetin and Genistein with a rotatable bond and lower molecular weight increased their drug-likeness than the others. Therefore, simultaneous inhibition of VPAC1 and EGFR, in turn, might inhibit the progression of breast carcinoma. The results obtained were further substantiated by comparing them with positive and negative controls. Quercetin was used as positive control, and strong binding energy of -7.54 kcal/mol with EGFR is in accordance with experimental evidence. 3-O-cis-p coumaroyl alphitolic acid was used as negative control, where docking was not possible in absence of binding with either EGFR or VIPR1.

Indexed as

Molecular Dynamics SimulationErbB ReceptorsHumansNeoplasmsReceptors, Vasoactive Intestinal Polypeptide, Type ISignal TransductionSoftwareEGFR protein, humanErbB ReceptorsReceptors, Vasoactive Intestinal Polypeptide, Type IVIPR1 protein, humanBreast cancerDrug developmentIn silico modellingMolecular interactions

Identifiers

PMID30810849
OpenAlexW2916567067

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.