Evidence map›Paper›PMID 37609475›Full record

ArticleCurrent research in toxicology2023

Herbal concoction Unveiled: A computational analysis of phytochemicals' pharmacokinetic and toxicological profiles using novel approach methodologies (NAMs).

Mansi Rai, Ajay Vikram Singh, Namuna Paudel, Anurag Kanase, Ermelinda Falletta, Pranali Kerkar, Jan Heyda, Reham F Barghash, Shubham Pratap Singh, Miroslav Soos

Abstract read
In one paragraph

Article in Current research in toxicology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
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

31 citing papers in PubMed.

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  14. New Derivatives of 2-(Cyclohexylamino)thiazol-4(5International journal of molecular sciences · 2025
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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

10 authors.

Mansi RaiDepartment of Microbiology, Central University of Rajasthan NH-8, Bandar Sindri, Dist-Ajmer-305817, Rajasthan, India.
Ajay Vikram SinghDepartment of Chemical and Product Safety, German Federal Institute of Risk Assessment (BfR), Maxdohrnstrasse 8-10, 10589 Berlin, Germany.
Namuna PaudelDepartment of Chemistry, Amrit Campus, Institute of Science and Technology, Tribhuvan University, Lainchaur, Kathmandu 44600, Nepal.
Anurag KanaseOpentrons Labworks Inc., Brooklyn, NY 11201, the United States of America.
Ermelinda FallettaDepartment of Chemistry, University of Milan, Via Golgi 19, 20133 Milan, Italy.
Pranali KerkarRutgers School of Public Health, 683 Hoes Lane West Piscataway, NJ 08854, the United States of America.
Jan HeydaDepartment of Physical Chemistry, University of Chemistry and Technology Prague, Technicka 5, Prague 6 Dejvice, 166 28, Czech Republic.
Reham F BarghashInstitute of Chemical Industries Researches, National Research Centre, Dokki, Cairo 12622, Egypt.
Shubham Pratap SinghFaculty of Informatics, Otto von Guericke University, Magdeburg 39106, Germany.
Miroslav SoosDepartment of Chemical Engineering, University of Chemistry and Technology Prague, Technicka 3, Prague 6 Dejvice, 166 28, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herbal medications have an extensive history of use in treating various diseases, attributed to their perceived efficacy and safety. Traditional medicine practitioners and contemporary healthcare providers have shown particular interest in herbal syrups, especially for respiratory illnesses associated with the SARS-CoV-2 virus. However, the current understanding of the pharmacokinetic and toxicological properties of phytochemicals in these herbal mixtures is limited. This study presents a comprehensive computational analysis utilizing novel approach methodologies (NAMs) to investigate the pharmacokinetic and toxicological profiles of phytochemicals in herbal syrup, leveraging in-silico techniques and prediction tools such as PubChem, SwissADME, and Molsoft's database. Although molecular dynamics, docking, and broader system-wide analyses were not considered, future studies hold potential for further investigation in these areas. By combining drug-likeness with molecular simulation, researchers identify diverse phytochemicals suitable for complex medication development examining their pharmacokinetic-toxicological profiles in phytopharmaceutical syrup. The study focuses on herbal solutions for respiratory infections, with the goal of adding to the pool of all-natural treatments for such ailments. This research has the potential to revolutionize environmental and alternative medicine by leveraging in-silico models and innovative analytical techniques to identify novel phytochemicals with enhanced therapeutic benefits and explore network-based and systems biology approaches for a deeper understanding of their interactions with biological systems. Overall, our study offers valuable insights into the computational analysis of the pharmacokinetic and toxicological profiles of herbal concoction. This paves the way for advancements in environmental and alternative medicine. However, we acknowledge the need for future studies to address the aforementioned topics that were not adequately covered in this research.

Indexed as

ADME/Tox ProfilingDrug-LikenessIn-silico AnalysisPharmacokineticsPhytochemicalsToxicology

Identifiers

PMID37609475
PMCPMC10440360

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.