Evidence map›Paper›PMID 38240951›Full record

ArticleMolecular diversity2024

Discovery of novel Akt1 inhibitors by an ensemble-based virtual screening method, molecular dynamics simulation, and in vitro biological activity testing.

Wen Zhang, Mei-Ling Hu, Xiu-Yun Shi, Xiang-Long Chen, Xue Su, Hua-Zhao Qi, Li Yuan, Hui Zhang

Abstract read
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In one paragraph

Article in Molecular diversity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 11 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 1 institution in 1 country.

Wen ZhangCollege of Life Science, Northwest Normal University, Lanzhou, 730070, Gansu, People's Republic of China.
Mei-Ling HuCollege of Life Science, Northwest Normal University, Lanzhou, 730070, Gansu, People's Republic of China.
Xiu-Yun ShiCollege of Life Science, Northwest Normal University, Lanzhou, 730070, Gansu, People's Republic of China.
Xiang-Long ChenCollege of Life Science, Northwest Normal University, Lanzhou, 730070, Gansu, People's Republic of China.
Xue SuCollege of Life Science, Northwest Normal University, Lanzhou, 730070, Gansu, People's Republic of China.
Hua-Zhao QiCollege of Life Science, Northwest Normal University, Lanzhou, 730070, Gansu, People's Republic of China.
Li YuanCollege of Life Science, Northwest Normal University, Lanzhou, 730070, Gansu, People's Republic of China.
Hui ZhangCollege of Life Science, Northwest Normal University, Lanzhou, 730070, Gansu, People's Republic of China. zhanghui123gansu@163.com.
Northwest Normal University · CN

Funding

National Natural Science Foundation of China 82260693Science and Technology Program Project of Gansu Province 20JR5RA538
6 · The paper itself

Abstract

Akt1, as an important member of the Akt family, plays a controlled role in cancer cell growth and survival. Inhibition of Akt1 activity can promote cancer cell apoptosis and inhibit tumor growth. Therefore, in this investigation, a multilayer virtual screening approach, including receptor-ligand interaction-based pharmacophore, 3D-QSAR, molecular docking, and deep learning methods, was utilized to construct a virtual screening platform for Akt1 inhibitors. 17 representative compounds with different scaffolds were identified as potential Akt1 inhibitors from three databases. Among these 17 compounds, the Hit9 exhibited the best inhibitory activity against Akt1 with inhibition rate of 33.08% at concentration of 1 μM. The molecular dynamics simulations revealed that Hit9 and Akt1 could form a compact and stable complex. Moreover, Hit9 interacted with some key residues by hydrophobic, electrostatic, and hydrogen bonding interactions and induced substantial conformation changes in the hinge region of the Akt1 active site. The average binding free energies for the Akt1-CQU, Akt1-Ipatasertib, and Akt1-Hit9 systems were - 34.44, - 63.37, and - 39.14 kJ mol

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationProtein Kinase InhibitorsProto-Oncogene Proteins c-aktQuantitative Structure-Activity RelationshipAntineoplastic AgentsDrug DiscoveryHumansPiperazinesProtein BindingPyrimidinesAKT1 protein, humanAntineoplastic AgentsipatasertibPiperazinesProtein Kinase InhibitorsProto-Oncogene Proteins c-aktPyrimidines3D-QSAR modelAkt1 inhibitorsBiological activityDeep-learning modelMolecular dynamicsPharmacophore model

Identifiers

PMID38240951
OpenAlexW4391027762

What OpenQuestion holds

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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.