Evidence map›Paper›PMID 37153804›Full record

ArticleFrontiers in pharmacology2023

Modified coptisine derivatives as an inhibitor against pathogenic

Shopnil Akash, Arafat Hossain, Nobendu Mukerjee, Md Moklesur Rahman Sarker, Mohammad Firoz Khan, Md Jamal Hossain, Mohammad A Rashid, Ajoy Kumer, Arabinda Ghosh, Darwin A León-Figueroa and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Molecular Docking and Molecular Dynamics Simulations in Related toTropical medicine and infectious disease · 2023
    Review
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

13 authors at 11 institutions in 4 countries.

Shopnil AkashDepartment of Pharmacy, Faculty of Allied Health Sciences, Daffodil International University, Dhaka, Bangladesh.
Arafat HossainDepartment of Biochemistry and Molecular Biology, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj, Bangladesh.
Nobendu MukerjeeDepartment of Microbiology, West Bengal State University, Kolkata, West Bengal, India.
Md Moklesur Rahman SarkerHealth Med. Science Research Network, Dhaka, Bangladesh.
Mohammad Firoz KhanDepartment of Pharmacy, State University of Bangladesh, Dhaka, Bangladesh.
Md Jamal HossainDepartment of Pharmacy, State University of Bangladesh, Dhaka, Bangladesh.
Mohammad A RashidDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Dhaka, Dhaka, Bangladesh.
Ajoy KumerLaboratory of Computational Research for Drug Design and Material Science, Department of Chemistry, European University of Bangladesh, Dhaka, Bangladesh.
Arabinda GhoshMicrobiology Division, Department of Botany, Gauhati University, Guwahati, Assam, India.
Darwin A León-FigueroaFacultad de Medicina Humana, Universidad de San Martín de Porres, Chiclayo, Peru.
Joshuan J BarbozaEscuela de Medicina, Universidad Cesar Vallejo, Trujillo, Peru.
Bijaya Kumar PadhiDepartment of Community Medicine, School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Ranjit SahInstitute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, Nepal.
State University of Bangladesh · BDBangabandhu Sheikh Mujibur Rahman Science and Technology University · BDDaffodil International University · BDEuropean University of Bangladesh · BDGauhati University · INPost Graduate Institute of Medical Education and Research · INTribhuvan University Teaching Hospital · NPUniversidad César Vallejo · PEUniversidad de San Martín de Porres · PEUniversity of Dhaka · BDWest Bengal State University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the second phase of SARS-CoV-2, an unknown fungal infection, identified as black fungus, was transmitted to numerous people among the hospitalized COVID-19 patients and increased the death rate. The black fungus is associated with the Mycolicibacterium smegmatis, Mucor lusitanicus, and Rhizomucor miehei microorganisms. At the same time, other pathogenic diseases, such as the Monkeypox virus and Marburg virus, impacted global health. Policymakers are concerned about these pathogens due to their severe pathogenic capabilities and rapid spread. However, no standard therapies are available to manage and treat those conditions. Since the coptisine has significant antimicrobial, antiviral, and antifungal properties; therefore, the current investigation has been designed by modifying coptisine to identify an effective drug molecule against Black fungus, Monkeypox, and Marburg virus. After designing the derivatives of coptisine, they have been optimized to get a stable molecular structure. These ligands were then subjected to molecular docking study against two vital proteins obtained from black fungal pathogens: Rhizomucor miehei (PDB ID: 4WTP) and Mycolicibacterium smegmatis (PDB ID 7D6X), and proteins found in Monkeypox virus (PDB ID: 4QWO) and Marburg virus (PDB ID 4OR8). Following molecular docking, other computational investigations, such as ADMET, QSAR, drug-likeness, quantum calculation and molecular dynamics, were also performed to determine their potentiality as antifungal and antiviral inhibitors. The docking score reported that they have strong affinities against Black fungus, Monkeypox virus, and Marburg virus. Then, the molecular dynamic simulation was conducted to determine their stability and durability in the physiological system with water at 100 ns, which documented that the mentioned drugs were stable over the simulated time. Thus, our

Indexed as

admetBlack FungusDFTMarburg virusmolecular dockingmolecular dynamic simulationMonkeypoxQSAR

Identifiers

PMID37153804
PMCPMC10154673
OpenAlexW4366429453

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.