Evidence map›Paper›PMID 32070031›Full record

ArticleMolecules (Basel, Switzerland)2020

Virtual Screening Approach to Identify High-Affinity Inhibitors of Serum and Glucocorticoid-Regulated Kinase 1 among Bioactive Natural Products: Combined Molecular Docking and Simulation Studies.

Taj Mohammad, Shiza Siddiqui, Anas Shamsi, Mohamed F Alajmi, Afzal Hussain, Asimul Islam, Faizan Ahmad, Md Imtaiyaz Hassan

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
12.3field-weighted citation impact, top 1% 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

59 citing papers in PubMed, 158 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

8 authors at 3 institutions in 2 countries.

Taj MohammadCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India.ORCID 0000-0002-0399-4835
Shiza SiddiquiDepartment of Biotechnology, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India.
Anas ShamsiCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India.
Mohamed F AlajmiDepartment of Pharmacognosy College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
Afzal HussainDepartment of Pharmacognosy College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0001-9769-2557
Asimul IslamCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India.ORCID 0000-0001-9060-7970
Faizan AhmadCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India.ORCID 0000-0001-7021-7502
Md Imtaiyaz HassanCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India.ORCID 0000-0002-3663-4940
Jamia Millia Islamia · INKing Saud University · SADepartment of Biotechnology · IN

Funding

Science and Engineering Research Board EMR/2015/002372
6 · The paper itself

Abstract

Serum and glucocorticoid-regulated kinase 1 (SGK1) is a serine/threonine kinase that works under acute transcriptional control by several stimuli, including serum and glucocorticoids. It plays a significant role in the cancer progression and metastasis, as it regulates inflammation, apoptosis, hormone release, neuro-excitability, and cell proliferation. SGK1 has recently been considered as a potential drug target for cancer, diabetes, and neurodegenerative diseases. In the present study, we have performed structure-based virtual high-throughput screening of natural compounds from the ZINC database to find potential inhibitors of SGK1. Initially, hits were selected based on their physicochemical, absorption, distribution, metabolism, excretion, and toxicity (ADMET), and other drug-like properties. Afterwards, PAINS filter, binding affinities estimation, and interaction analysis were performed to find safe and effective hits. We found four compounds bearing appreciable binding affinity and specificity towards the binding pocket of SGK1. The docking results were complemented by all-atom molecular dynamics simulation for 100 ns, followed by MM/PBSA, and principal component analysis to investigate the conformational changes, stability, and interaction mechanism of SGK1 in-complex with the selected compound ZINC00319000. Molecular dynamics simulation results suggested that the binding of ZINC00319000 stabilizes the SGK1 structure, and it leads to fewer conformational changes. In conclusion, the identified compound ZINC00319000 might be further exploited as a scaffold to develop promising inhibitors of SGK1 for the therapeutic management of associated diseases, including cancer.

Indexed as

Molecular Dynamics SimulationBiological ProductsEnzyme InhibitorsHumansImmediate-Early ProteinsProtein Serine-Threonine KinasesProtein Structure, SecondarySerum-Glucocorticoid Regulated KinasesBiological ProductsEnzyme InhibitorsImmediate-Early ProteinsProtein Serine-Threonine KinasesSerum-Glucocorticoid Regulated KinasesMD simulationMM/PBSAmolecular dockingnatural productsserum and glucocorticoid-regulated kinase 1virtual screening

Identifiers

PMID32070031
PMCPMC7070812
OpenAlexW3006635935

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.