Computational Discovery of the Neuroprotective Potential of Karanjin Against Parkinson's Disease

Abstract Parkinson's disease, a degenerative neurological disorder, characterized by dopaminergic neuron loss, oxidative stress, and α‐synuclein aggregation. Current therapies face limitations like side effects and lack of disease‐modifying potential. This study investigates karanjin, a Furano flavonoid from Pongamia pinnata , as a putative multi‐target neuroprotective agent using in silico approaches. ADME and toxicity profiling (SwissADME, ProTox‐II) revealed karanjin's drug‐likeness, blood‐brain barrier permeability, and low hepatotoxicity. Network pharmacology identified SRC kinase, PI3K‐Akt, and MAPK signalling as key targets, with karanjin modulating oxidative stress and neuroinflammation pathways. Molecular docking (Glide XP) demonstrated strong binding affinity (−100.1 kcal/mol) of karanjin to SRC kinase (PDB: 8HQA), stabilized by hydrogen bonds (Ser345, Gln275) and hydrophobic interactions (Tyr340, Leu393). Molecular dynamics simulations (100 ns) confirmed complex stability (RMSD < 2.5 Å), with consistent residue interactions (>70% occupancy). These results highlight karanjin's potential as a multi‐target, BBB‐penetrant neuroprotective activity.

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Publication Details

Journal
ChemistrySelect
Published
2025-10-01
DOI
https://doi.org/10.1002/slct.202503043
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Computational Discovery of the Neuroprotective Potential of Karanjin Against Parkinson's Disease

Ling Shing Wong, Srikanth Jeyabalan, Vetriselvan Subramaniyan, Mahendran Sekar et al.
ChemistrySelect
Computational Drug Discovery Methods
article

Computational Discovery of the Neuroprotective Potential of Karanjin Against Parkinson's Disease

Ling Shing Wong, Srikanth Jeyabalan, Vetriselvan Subramaniyan, Mahendran Sekar, Parasuraman Pavadai, Chetan Ashok, R. Gopinath, Naveen Kumar Rajasekaran
article en

Abstract

Abstract Parkinson's disease, a degenerative neurological disorder, characterized by dopaminergic neuron loss, oxidative stress, and α‐synuclein aggregation. Current therapies face limitations like side effects and lack of disease‐modifying potential. This study investigates karanjin, a Furano flavonoid from Pongamia pinnata , as a putative multi‐target neuroprotective agent using in silico approaches. ADME and toxicity profiling (SwissADME, ProTox‐II) revealed karanjin's drug‐likeness, blood‐brain barrier permeability, and low hepatotoxicity. Network pharmacology identified SRC kinase, PI3K‐Akt, and MAPK signalling as key targets, with karanjin modulating oxidative stress and neuroinflammation pathways. Molecular docking (Glide XP) demonstrated strong binding affinity (−100.1 kcal/mol) of karanjin to SRC kinase (PDB: 8HQA), stabilized by hydrogen bonds (Ser345, Gln275) and hydrophobic interactions (Tyr340, Leu393). Molecular dynamics simulations (100 ns) confirmed complex stability (RMSD < 2.5 Å), with consistent residue interactions (>70% occupancy). These results highlight karanjin's potential as a multi‐target, BBB‐penetrant neuroprotective activity.

ChemistrySelectVol. 10(38)
Monash University Malaysia (MY), INTI International University (MY), Sri Ramachandra Institute of Higher Education and Research (IN), M S Ramaiah University of Applied Sciences (IN), Dr. D.Y. Patil Vidyapeeth, Pune (IN), Sunway University (MY)
Openalex Percentile: Top 70%
Computational Drug Discovery Methods
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Computational Discovery of the Neuroprotective Potential of Karanjin Against Parkinson's Disease — Ling Shing Wong, Srikanth Jeyabalan, et al. · ChemistrySelect (2025) | TGRS Research Map | TGRS