MOLECULAR DOCKING STUDIES OF ISATIN-LINKED CHALCONE DERIVATIVES AS PANKASSOCIATED NEURODEGENERATIVE DRUG CANDIDATES AND THEIR ADMET PREDICTION

Objective: Molecular docking studies were carried out on fifteen novel Isatin-linked chalcone derivatives to evaluate their potential as drug candidates for PanK-associated neurodegeneration. Methods: The compounds were computationally analyzed using Molegro Virtual Docker, Autodocktools, and AU docker against the Pantothenate kinase protein (PDB ID: 6B3V). Results: The molecular docking analysis revealed that the synthesized chalcones exhibited significant binding affinities with dock scores ranging from −8.4 to −9.1 kcal/mol, surpassing the standard Pantazine derivative PZ-2891 (−7.0 kcal/mol). Compound 14 demonstrated superior binding affinity (−9.1 kcal/mol) through key interactions with SER-175, PHE-306, ASN-305, and THR-11 residues. The binding modes were validated through consensus scoring and root-mean-square deviation analysis. ADMET predictions using SwissADME indicated favorable drug-like properties for the compounds, including blood-brain barrier permeability and acceptable bioavailability scores. Conclusion: The computational analysis revealed that 80% of the compounds exhibited interactions with serine residues, similar to the standard drug’s binding pattern. Structure-activity relationship analysis identified key pharmacophoric features contributing to enhanced binding affinity, particularly the presence of specific substituents on the chalcone scaffold.

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Publication Details

Journal
Asian Journal of Pharmaceutical and Clinical Research
Published
2025-05-07
DOI
https://doi.org/10.22159/ajpcr.2025v18i5.54257
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

MOLECULAR DOCKING STUDIES OF ISATIN-LINKED CHALCONE DERIVATIVES AS PANKASSOCIATED NEURODEGENERATIVE DRUG CANDIDATES AND THEIR ADMET PREDICTION

Karanam R. Sireesha, Girija Sastry Vedula, Marapatla Shiny, GARA SUREKHA et al.
Asian Journal of Pharmaceutical and Clinical Research
Computational Drug Discovery Methods
article

MOLECULAR DOCKING STUDIES OF ISATIN-LINKED CHALCONE DERIVATIVES AS PANKASSOCIATED NEURODEGENERATIVE DRUG CANDIDATES AND THEIR ADMET PREDICTION

Karanam R. Sireesha, Girija Sastry Vedula, Marapatla Shiny, GARA SUREKHA, CHALLA VIJAYA SRUTHI
article en

Abstract

Objective: Molecular docking studies were carried out on fifteen novel Isatin-linked chalcone derivatives to evaluate their potential as drug candidates for PanK-associated neurodegeneration. Methods: The compounds were computationally analyzed using Molegro Virtual Docker, Autodocktools, and AU docker against the Pantothenate kinase protein (PDB ID: 6B3V). Results: The molecular docking analysis revealed that the synthesized chalcones exhibited significant binding affinities with dock scores ranging from −8.4 to −9.1 kcal/mol, surpassing the standard Pantazine derivative PZ-2891 (−7.0 kcal/mol). Compound 14 demonstrated superior binding affinity (−9.1 kcal/mol) through key interactions with SER-175, PHE-306, ASN-305, and THR-11 residues. The binding modes were validated through consensus scoring and root-mean-square deviation analysis. ADMET predictions using SwissADME indicated favorable drug-like properties for the compounds, including blood-brain barrier permeability and acceptable bioavailability scores. Conclusion: The computational analysis revealed that 80% of the compounds exhibited interactions with serine residues, similar to the standard drug’s binding pattern. Structure-activity relationship analysis identified key pharmacophoric features contributing to enhanced binding affinity, particularly the presence of specific substituents on the chalcone scaffold.

Asian Journal of Pharmaceutical and Clinical Research
Andhra University (IN)
Openalex Percentile: Top 88%
Computational Drug Discovery Methods
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MOLECULAR DOCKING STUDIES OF ISATIN-LINKED CHALCONE DERIVATIVES AS PANKASSOCIATED NEURODEGENERATIVE DRUG CANDIDATES AND THEIR ADMET PREDICTION — Karanam R. Sireesha, Girija Sastry Vedula, et al. · Asian Journal of Pharmaceutical and Clinical Research (2025) | TGRS Research Map | TGRS