Evidence map›Paper›PMID 36180796›Full record

ArticleJournal of molecular modeling2022

Identification of novel inhibitors of S-adenosyl-L-homocysteine hydrolase via structure-based virtual screening and molecular dynamics simulations.

Cong Chen, Xiang-Hui Zhou, Wa Cheng, Yan-Fen Peng, Qi-Ming Yu, Xiang-Duan Tan

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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

6 authors at 1 institution in 1 country.

Cong ChenCollege of Pharmacy, Guilin Medical University, Guilin, 541199, China.
Xiang-Hui ZhouCollege of Pharmacy, Guilin Medical University, Guilin, 541199, China.
Wa ChengCollege of Pharmacy, Guilin Medical University, Guilin, 541199, China.
Yan-Fen PengCollege of Pharmacy, Guilin Medical University, Guilin, 541199, China.
Qi-Ming YuCollege of Pharmacy, Guilin Medical University, Guilin, 541199, China. qm_yu19@glmc.edu.cn.
Xiang-Duan TanCollege of Pharmacy, Guilin Medical University, Guilin, 541199, China. tandy@glmc.edu.cn.
Guilin Medical University · CN

Funding

Innovation Project of Guangxi Graduate Education YCSW2022367National Natural Science Foundation of China 82060627Natural Science Foundation of Guangxi Province 2018GXNSFAA281114Natural Science Foundation of Guangxi Province 2020GXNSFAA159149
6 · The paper itself

Abstract

S-adenosyl-L-homocysteine hydrolase (SAHase) is an important regulator in the methylation reactions in many organisms and thus is crucial for numerous cellular functions. In recent years, SAHase has become one of the popular targets for drug design, and SAHase inhibitors have exhibited potent antiviral activity. In this study, we established the complex-based pharmacophore models based on the known crystal complex of SAHase (PDB ID: 1A7A) to screen the drug-likeness compounds of ChEMBL database. Then, three molecular docking programs were used to validate the reliability of compounds, involving Libdock, CDOCKER, and AutoDock Vina programs. The four promising hit compounds (CHEMBL420751, CHEMBL346387, CHEMBL1569958, and CHEMBL4206648) were performed molecular dynamics simulations and MM-PBSA calculations to evaluate their stability and binding-free energy in the binding site of SAHase. After screening and analyzing, the hit compounds CHEMBL420751 and CHEMBL346387 were suggested to further research to obtain novel potential SAHase inhibitors. A series of computer-aided drug design methods, including pharmacophore, molecular docking, molecular dynamics simulation and MM-PBSA calculations, were employed in this study to identity novel inhibitors of S-adenosyl-L-homocysteine hydrolase (SAHase). Some compounds from virtual screening could form various interactions with key residues of SAHase. Among them, compounds CHEMBL346387 and CHEMBL420751 exhibited potent binding affinity from molecular docking and MM-PBSA, and maintained good stability at the binding site during molecular dynamics simulations as well. All these results indicated that the selected compounds might have the potential to be novel SAHase inhibitors.

Indexed as

HydrolasesMolecular Dynamics SimulationAntiviral AgentsHomocysteineLigandsMolecular Docking SimulationProtein BindingReproducibility of ResultsAntiviral AgentsHomocysteineHydrolasesLigandsMolecular dockingMolecular dynamic simulationPharmacophoreSAHase inhibitorVirtual screening

Identifiers

PMID36180796
OpenAlexW4298147971

What Socratic 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 Socratic graph.