Evidence map›Paper›PMID 38472456›Full record

ArticleCurrent microbiology2024

Natural Isatin Derivatives Against Black Fungus: In Silico Studies.

Md Saddam Hossain, Md Anisur Rahman, Prithbey Raj Dey, Md Parvez Khandocar, Md Yeakub Ali, Mahajabin Snigdha, Henrique Douglas Melo Coutinho, Muhammad Torequl Islam

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Article in Current microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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 4 institutions in 2 countries.

Md Saddam HossainDepartment of Biomedical Engineering, Islamic University, Kushtia, 7003, Bangladesh.
Md Anisur RahmanDepartment of Pharmacy, Islamic University, Kushtia, 7003, Bangladesh.
Prithbey Raj DeyDepartment of Industrial and Production Engineering, Dhaka University of Engineering and Technology, Gazipur, 1707, Bangladesh.
Md Parvez KhandocarDepartment of Biomedical Engineering, Islamic University, Kushtia, 7003, Bangladesh.
Md Yeakub AliDepartment of Biomedical Engineering, Islamic University, Kushtia, 7003, Bangladesh.
Mahajabin SnigdhaDepartment of Pharmacy, Islamic University, Kushtia, 7003, Bangladesh.
Henrique Douglas Melo CoutinhoBiological Chemistry Department, Regional University of Cariri, Crato, CE, Brazil.
Muhammad Torequl IslamDepartment of Pharmacy, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj, 8100, Bangladesh. dmt.islam@bsmrstu.edu.bd.
Islamic University · BDBangabandhu Sheikh Mujibur Rahman Science and Technology University · BDDhaka University of Engineering & Technology · BDUniversidade Regional do Cariri · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During this coronavirus pandemic, when a lot of people are already severely afflicted with SARS-CoV-19, the dispersion of black fungus is making it worse, especially in the Indian subcontinent. Considering this situation, the idea for an in silico study to identify the potential inhibitor against black fungal infection is envisioned and computational analysis has been conducted with isatin derivatives that exhibit considerable antifungal activity. Through this in silico study, several pharmacokinetics properties like absorption, distribution, metabolism, excretion, and toxicity (ADMET) are estimated for various derivatives. Lipinski rules have been used to observe the drug likeliness property, and to study the electronic properties of the molecules, quantum mechanism was analyzed using the density functional theory (DFT). After applying molecular docking of the isatin derivatives with sterol 14-alpha demethylase enzyme of black fungus, a far higher docking affinity score has been observed for the isatin sulfonamide-34 (derivative 1) than the standard fluconazole. Lastly, molecular dynamic (MD) simulation has been performed for 100 ns to examine the stability of the proposed drug complex by estimating Root Mean Square Deviation (RMSD), Radius of gyration (Rg), Solvent accessible surface area (SASA), Root Mean Square Fluctuation (RMSF), as well as hydrogen bond. Listed ligands have precisely satisfied every pharmacokinetics requirement for a qualified drug candidate and they are non-toxic, non-carcinogenic, and have high stability. This natural molecule known as isatin derivative 1 has shown the potential of being a drug for fungal treatment. However, the impact of the chemicals on living cells requires more investigation and research.

Indexed as

Coronavirus InfectionsIsatinAntifungal AgentsFungiHumansMolecular Docking SimulationAntifungal AgentsIsatin

Identifiers

PMID38472456
OpenAlexW4394767612

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.