In silico prediction of some pharmacokinetic, safety, biological activity and molecular docking studies of 1-piperazine indole hybrid with nicotinic amide and nicotinic acid and their analogues.

Biological activity in silico indole molecular docking pharmacokinetics safety

Journal

SAGE open medicine
ISSN: 2050-3121
Titre abrégé: SAGE Open Med
Pays: England
ID NLM: 101624744

Informations de publication

Date de publication:
2024
Historique:
received: 28 03 2024
accepted: 22 07 2024
medline: 1 11 2024
pubmed: 1 11 2024
entrez: 1 11 2024
Statut: epublish

Résumé

In silico predictions are now being utilized in drug discovery and design to assess the physicochemical, pharmacokinetics, and safety properties of compounds at the beginning of the drug discovery process. This early evaluation of the physicochemical, pharmacokinetics, and safety properties of compounds helps the researchers to invest their time and resources only in the best prospective lead compounds by eliminating compounds with a low chance of success. The purpose of this study was to explore a promising lead compound designed from 1-piperazine indole hybrid with nicotinic amide and nicotinic acid analogs targeted on The physicochemical, safety, pharmacokinetic, and biological activity properties of those molecules were predicted by using ADMETlab 2.0, ACD labs Chem Sketch software version 14.0, Molinspiration software, and MolPredictX online tool. Our results indicate that several promising candidates exhibit favorable characteristics. Based on Molinspiration software both nicotinic acid and nicotinic amide derivatives showed higher kinase inhibitor activity and all nicotinic acid derivatives revealed enzyme inhibitors and GPCR ligand activity. According to the MolPredictX online tool, the most biologically active derivatives were NA-4, NA-11, and NAD-11. Overall, our findings offer valuable insights into the potential efficacy and safety of these compounds. It appears that almost all of the compounds have successfully passed the pharmacokinetic evaluations and integration of nicotinic acid into indole appears to be more beneficial than nicotinic amide regarding certain biological activities.

Sections du résumé

Background UNASSIGNED
In silico predictions are now being utilized in drug discovery and design to assess the physicochemical, pharmacokinetics, and safety properties of compounds at the beginning of the drug discovery process. This early evaluation of the physicochemical, pharmacokinetics, and safety properties of compounds helps the researchers to invest their time and resources only in the best prospective lead compounds by eliminating compounds with a low chance of success.
Objective UNASSIGNED
The purpose of this study was to explore a promising lead compound designed from 1-piperazine indole hybrid with nicotinic amide and nicotinic acid analogs targeted on
Results UNASSIGNED
The physicochemical, safety, pharmacokinetic, and biological activity properties of those molecules were predicted by using ADMETlab 2.0, ACD labs Chem Sketch software version 14.0, Molinspiration software, and MolPredictX online tool. Our results indicate that several promising candidates exhibit favorable characteristics. Based on Molinspiration software both nicotinic acid and nicotinic amide derivatives showed higher kinase inhibitor activity and all nicotinic acid derivatives revealed enzyme inhibitors and GPCR ligand activity. According to the MolPredictX online tool, the most biologically active derivatives were NA-4, NA-11, and NAD-11.
Conclusion UNASSIGNED
Overall, our findings offer valuable insights into the potential efficacy and safety of these compounds. It appears that almost all of the compounds have successfully passed the pharmacokinetic evaluations and integration of nicotinic acid into indole appears to be more beneficial than nicotinic amide regarding certain biological activities.

Identifiants

pubmed: 39483628
doi: 10.1177/20503121241274212
pii: 10.1177_20503121241274212
pmc: PMC11526151
doi:

Types de publication

Journal Article

Langues

eng

Pagination

20503121241274212

Informations de copyright

© The Author(s) 2024.

Déclaration de conflit d'intérêts

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Melese Legesse Mitku (ML)

Department of Pharmaceutical Chemistry, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Abera Dessie Dagnaw (AD)

Department of Pharmaceutical Chemistry, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Derso Teju Geremew (DT)

Department of Pharmaceutics, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Yeniewa Kerie Anagaw (YK)

Department of Pharmaceutical Chemistry, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Minichil Chanie Worku (MC)

Department of Pharmaceutical Chemistry, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Liknaw Workie Limenh (LW)

Department of Pharmaceutics, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Yabibal Berie Tadesse (YB)

Department of Pharmaceutical Chemistry, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Asrat Elias Ergena (AE)

Department of Pharmaceutical Chemistry, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Classifications MeSH