Bioinformatics Exploration of the Therapeutic Potential of Lotus Seed Compounds in Multiple Sclerosis: A Network Analysis of c‐Jun Pathway DOI Open Access
Rapuru Rushendran,

Ankul Singh S,

Rukaiah Fatma Begum

и другие.

Drug Development Research, Год журнала: 2025, Номер 86(1)

Опубликована: Янв. 5, 2025

ABSTRACT The central nervous system is affected by multiple sclerosis (MS), a chronic autoimmune illness characterized axonal destruction, demyelination, and inflammation. This article summarizes the state of field, highlighting its complexity significant influence on people's quality life. research employs network pharmacological approach, integrating systems biology, bioinformatics, pharmacology to identify biomarkers associated with MS. Utilizing Nelumbo Nucifera (Lotus) seeds, study involves toxicity assessments, biomolecule screening, target prediction. Advanced computational methodologies are employed, including molecular docking dynamic simulations, assess potential therapeutic interactions. Biomolecule screening identifies eight active compounds from Lotus Anonaine Liriodenine. Target prediction reveals 264 common targets MS‐related genes. Protein‐protein interaction analysis establishes complex network, identifying like SRC AKT1. Bioinformatics enrichment uncovers candidates pathways. A Biomolecule‐Target‐Pathway diagram visualizes interactions, Liriodenine exhibiting strong binding affinities in studies. Molecular dynamics simulations provide insights into In conclusion, through advanced techniques, it unveils therapies, pathways, bridging predictions practical applications. show promise curbing MS biomarkers.

Язык: Английский

Bioinformatics Exploration of the Therapeutic Potential of Lotus Seed Compounds in Multiple Sclerosis: A Network Analysis of c‐Jun Pathway DOI Open Access
Rapuru Rushendran,

Ankul Singh S,

Rukaiah Fatma Begum

и другие.

Drug Development Research, Год журнала: 2025, Номер 86(1)

Опубликована: Янв. 5, 2025

ABSTRACT The central nervous system is affected by multiple sclerosis (MS), a chronic autoimmune illness characterized axonal destruction, demyelination, and inflammation. This article summarizes the state of field, highlighting its complexity significant influence on people's quality life. research employs network pharmacological approach, integrating systems biology, bioinformatics, pharmacology to identify biomarkers associated with MS. Utilizing Nelumbo Nucifera (Lotus) seeds, study involves toxicity assessments, biomolecule screening, target prediction. Advanced computational methodologies are employed, including molecular docking dynamic simulations, assess potential therapeutic interactions. Biomolecule screening identifies eight active compounds from Lotus Anonaine Liriodenine. Target prediction reveals 264 common targets MS‐related genes. Protein‐protein interaction analysis establishes complex network, identifying like SRC AKT1. Bioinformatics enrichment uncovers candidates pathways. A Biomolecule‐Target‐Pathway diagram visualizes interactions, Liriodenine exhibiting strong binding affinities in studies. Molecular dynamics simulations provide insights into In conclusion, through advanced techniques, it unveils therapies, pathways, bridging predictions practical applications. show promise curbing MS biomarkers.

Язык: Английский

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