Evidence map›Paper›PMID 35807547›Full record

ArticleMolecules (Basel, Switzerland)2022

Identification and Evaluation of Traditional Chinese Medicine Natural Compounds as Potential Myostatin Inhibitors: An In Silico Approach.

Shahid Ali, Khurshid Ahmad, Sibhghatulla Shaikh, Jeong Ho Lim, Hee Jin Chun, Syed Sayeed Ahmad, Eun Ju Lee, Inho Choi

Open access · goldAbstract 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

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  9. Effect ofHeliyon · 2024
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  18. Dipeptidyl peptidase-4 inhibitory potentials ofFrontiers in molecular biosciences · 2022
    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

8 authors at 1 institution in 1 country.

Shahid AliDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan 38541, Korea.ORCID 0000-0002-4724-5086
Khurshid AhmadDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan 38541, Korea.ORCID 0000-0002-1095-8445
Sibhghatulla ShaikhDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan 38541, Korea.ORCID 0000-0002-7489-2393
Jeong Ho LimDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan 38541, Korea.ORCID 0000-0002-0375-8170
Hee Jin ChunDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan 38541, Korea.
Syed Sayeed AhmadDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan 38541, Korea.ORCID 0000-0002-2829-2768
Eun Ju LeeDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan 38541, Korea.ORCID 0000-0003-2496-0463
Inho ChoiDepartment of Medical Biotechnology, Yeungnam University, Gyeongsan 38541, Korea.
Yeungnam University · KR

Funding

Basic Science Research Program through the National Research Foundation of Korea (NRF) 2020R1A6A1A03044512National Research Foundation of Korea (NRF) NRF-2019R1C1C1006542National Research Foundation of Korea (NRF) NRF-2021R1A2C2004177
6 · The paper itself

Abstract

Myostatin (MSTN), a negative regulator of muscle mass, is reported to be increased in conditions linked with muscle atrophy, sarcopenia, and other muscle-related diseases. Most pharmacologic approaches that treat muscle disorders are ineffective, emphasizing the emergence of MSTN inhibition. In this study, we used computational screening to uncover natural small bioactive inhibitors from the Traditional Chinese Medicine database (~38,000 compounds) for the MSTN protein. Potential ligands were screened, based on binding affinity (150), physicochemical (53) and ADMET properties (17). We found two hits (ZINC85592908 and ZINC85511481) with high binding affinity and specificity, and their binding patterns with MSTN protein. In addition, molecular dynamic simulations were run on each complex to better understand the interaction mechanism of MSTN with the control (curcumin) and the hit compounds (ZINC85592908 and ZINC85511481). We determined that the hits bind to the active pocket site (Helix region) and trigger conformational changes in the MSTN protein. Since the stability of the ZINC85592908 compound was greater than the MSTN control, we believe that ZINC85592908 has therapeutic potential against the MSTN protein and may hinder downstream singling by inhibiting the MSTN protein and increasing myogenesis in the skeletal muscle tissues.

Indexed as

Medicine, Chinese TraditionalComputer SimulationDrug Evaluation, PreclinicalMolecular Dynamics SimulationMuscle DevelopmentMuscular DiseasesMyostatinProtein BindingMyostatinMD simulationsmuscle-related diseasesmyogenesismyostatinnatural compoundstraditional Chinese medicine

Identifiers

PMID35807547
PMCPMC9268423
OpenAlexW4283804640

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.