Evidence map›Paper›PMID 35807344›Full record

ArticleMolecules (Basel, Switzerland)2022

Deep Learning and Structure-Based Virtual Screening for Drug Discovery against NEK7: A Novel Target for the Treatment of Cancer.

Mubashir Aziz, Syeda Abida Ejaz, Seema Zargar, Naveed Akhtar, Abdullahi Tunde Aborode, Tanveer A Wani, Gaber El-Saber Batiha, Farhan Siddique, Mohammed Alqarni, Ashraf Akintayo Akintola

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
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

29 citing papers in PubMed.

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  4. Molecules (Basel, Switzerland) · 2026
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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

10 authors.

Mubashir AzizDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.
Syeda Abida EjazDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.ORCID 0000-0002-8935-2242
Seema ZargarDepartment of Biochemistry, College of Science, King Saud University, P.O. Box 22452, Riyadh 11451, Saudi Arabia.
Naveed AkhtarDepartment of Pharmaceutics, Faculty of Pharmacy, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.
Abdullahi Tunde AborodeDepartment of Chemistry, Mississippi State University, Starkville, MS 39759, USA.ORCID 0000-0003-2516-5920
Tanveer A WaniDepartment of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, P.O. Box 2457, Riyadh 11451, Saudi Arabia.ORCID 0000-0001-5623-2685
Gaber El-Saber BatihaDepartment of Pharmacology and Therapeutics, Faculty of Veterinary Medicine, Damanhour University, Damanhour 22511, AlBeheira, Egypt.ORCID 0000-0002-7817-425X
Farhan SiddiqueLaboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-60174 Norrköping, Sweden.ORCID 0000-0003-4358-5259
Mohammed AlqarniDepartment of Pharmaceutical Chemistry, College of Pharmacy, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.ORCID 0000-0002-4192-1653
Ashraf Akintayo AkintolaDepartment of Biomedical Convergence Science and Technology, Kyungpook National University, Daegu 41566, Korea.ORCID 0000-0002-8171-0439

Funding

King Saud University RSP-2021/357
6 · The paper itself

Abstract

NIMA-related kinase7 (NEK7) plays a multifunctional role in cell division and NLRP3 inflammasone activation. A typical expression or any mutation in the genetic makeup of NEK7 leads to the development of cancer malignancies and fatal inflammatory disease, i.e., breast cancer, non-small cell lung cancer, gout, rheumatoid arthritis, and liver cirrhosis. Therefore, NEK7 is a promising target for drug development against various cancer malignancies. The combination of drug repurposing and structure-based virtual screening of large libraries of compounds has dramatically improved the development of anticancer drugs. The current study focused on the virtual screening of 1200 benzene sulphonamide derivatives retrieved from the PubChem database by selecting and docking validation of the crystal structure of NEK7 protein (PDB ID: 2WQN). The compounds library was subjected to virtual screening using Auto Dock Vina. The binding energies of screened compounds were compared to standard Dabrafenib. In particular, compound

Indexed as

Carcinoma, Non-Small-Cell LungDeep LearningLung NeoplasmsDrug DiscoveryEarly Detection of CancerHumansMolecular Docking SimulationMolecular Dynamics SimulationNIMA-Related KinasesNEK7 protein, humanNIMA-Related Kinasescancerdeep learningDFTsdrug designdrug repurposingmolecular dynamicsNEK7structural-basedvirtual screening

Identifiers

PMID35807344
PMCPMC9268522

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Registered trials

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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.