Jyoti Bashyal
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jyoti Bashyal has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Niranjan Parajuli
Central Department of Chemistry, Tribhuvan University, Kathmandu, Nepal
4 shared publications - Bimal Kumar Raut
Central Department of Chemistry, Tribhuvan University, Kathmandu, Nepal
3 shared publications - Siddha Raj Upadhyaya
Tribhuvan University
3 shared publications - Babita Aryal
Biological Chemistry Laboratory, Central Department of Chemistry, Tribhuvan University, Kirtipur 44618, Nepal
1 shared publication - Basanta Kumar Sapkota
Biological Chemistry Lab
1 shared publication - Kabita Sharma
Biological Chemistry Lab
1 shared publication
Latest Publications
- Open Access
- 26 August 2025
- Published by Springer Nature in Discover Chemistry
- Vol. 2 (1) , 1-22
In silico study of therapeutic potential of natural polyphenol derivatives targeting pancreatic lipase
- 26 August 2025
- Published by Springer Nature in Discover Chemistry
- Vol. 2 (1) , 1-22
Open AccessIn silico study of therapeutic potential of natural polyphenol derivatives targeting pancreatic lipase
- Open Access
- 31 October 2024
- Published by Springer Nature in Research Square
Polyphenol Inhibition of Human Pancreatic Lipase: An In-Silico Study Towards Obesity Control
Background: Inhibiting human pancreatic lipase (EC3.1.1.3), a key enzyme in dietary fat breakdown and absorption, is an effective therapeutic approach for obesity control. Polyphenols, due to their multifaceted structure, enhance insulin sensitivity, reduce inflammation, and modulate gut microbiota, offering synergistic effects in controlling obesity. Methods: Considering the adverse side effects associated with current anti-obesity therapeutics, we explored a library of polyphenols known for their antiobesity properties to explicitly potent HPL inhibitors through extensive in-silicostudy including molecular docking, DFT, MD simulation, PCA, DCCM-based conformational analysis and pharmacokinetic analysis. Results: Significant binding affinity and interactions with catalytic triad (SER 152, HIS 263, and ASP 176) of HPL through molecular docking, alongside higher MM/GBSA values of -53.29, -52.76, and -53.37 kcal/mol, identified (-)-epigallocatechin-3-O-p-coumarate, (+)-catechin-3-O-gallate, and (-)-epicatechin-3-O-(3'-O-methyl gallate), respectively, as potent leads. The DFT study and molecular dynamics simulation affirmed the strong reactivity of these compounds in the catalytic site of HPL and stable protein-ligand complex over 100 ns. FEL, PCA, and DCCM analysis also demonstrated these protein-ligand complexes' stable dynamic behavior and conformational changes. Moreover, post-simulation MMPBSA analysis indicated higher binding free energy and favorable ADMET and drug-likeness pharmacokinetic properties asserted these lead potentials as explicit HPL inhibitors with potential for obesity control. Conclusion: To sum up, (-)-epigallocatechin-3-O-p-coumarate, (+)-catechin-3-O-gallate, and (-)-epicatechin-3-O-(3'-O-methyl gallate) are identified as promising HPL inhibitors, with potential application in managing obesity due to their stable interaction with the enzyme and favorable pharmacokinetic characteristics.
- 31 October 2024
- Published by Springer Nature in Research Square
Open AccessPolyphenol Inhibition of Human Pancreatic Lipase: An In-Silico Study Towards Obesity Control
Background: Inhibiting human pancreatic lipase (EC3.1.1.3), a key enzyme in dietary fat breakdown and absorption, is an effective therapeutic approach for obesity control. Polyphenols, due to their multifaceted structure, enhance insulin sensitivity, reduce inflammation, and modulate gut microbiota, offering synergistic effects in controlling obesity. Methods: Considering the adverse side effects associated with current anti-obesity therapeutics, we explored a library of polyphenols known for their antiobesity properties to explicitly potent HPL inhibitors through extensive in-silicostudy including molecular docking, DFT, MD simulation, PCA, DCCM-based conformational analysis and pharmacokinetic analysis. Results: Significant binding affinity and interactions with catalytic triad (SER 152, HIS 263, and ASP 176) of HPL through molecular docking, alongside higher MM/GBSA values of -53.29, -52.76, and -53.37 kcal/mol, identified (-)-epigallocatechin-3-O-p-coumarate, (+)-catechin-3-O-gallate, and (-)-epicatechin-3-O-(3'-O-methyl gallate), respectively, as potent leads. The DFT study and molecular dynamics simulation affirmed the strong reactivity of these compounds in the catalytic site of HPL and stable protein-ligand complex over 100 ns. FEL, PCA, and DCCM analysis also demonstrated these protein-ligand complexes' stable dynamic behavior and conformational changes. Moreover, post-simulation MMPBSA analysis indicated higher binding free energy and favorable ADMET and drug-likeness pharmacokinetic properties asserted these lead potentials as explicit HPL inhibitors with potential for obesity control. Conclusion: To sum up, (-)-epigallocatechin-3-O-p-coumarate, (+)-catechin-3-O-gallate, and (-)-epicatechin-3-O-(3'-O-methyl gallate) are identified as promising HPL inhibitors, with potential application in managing obesity due to their stable interaction with the enzyme and favorable pharmacokinetic characteristics.
- Open Access
- 1 January 2024
- Published by Wiley in Journal of Chemistry
- Vol. 2024 (1)
Exploration of Potent Human α‐Glucosidase Inhibitors Using In Silico Approaches: Molecular Docking, DFT, Molecular Dynamics Simulations, and MMPBSA
Inhibiting α‐glucosidase, a key enzyme in carbohydrate hydrolysis, can potentially control diabetes mellitus. Although commercially available drugs effectively lower blood glucose levels to mitigate hyperglycemia, their associated gastrointestinal side effects necessitate the exploration of explicit inhibitors with minimal side effects. We studied a library of 80 secondary metabolites ascribed to their antidiabetic properties and screened the most potent inhibitors using a comprehensive in silico approach, including molecular docking, DFT study, MD simulation, PCA, MMPBSA calculation, and pharmacokinetic analysis. Scolopianate A and ponasterone A emerged as potent α‐glucosidase inhibitors, forming hydrogen bonds with the catalytic diad and exhibiting prominent binding affinities of −8 kcal/mol. Further analyses encompassed significant reactivity at the catalytic site and stable protein‐ligand complexes, as asserted by 100 ns RMSD, RMSF, Rg, SASA, H‐bond, and PCA‐based free energy landscape analysis. The subsequent analysis of MMPBSA indicating a higher binding free energy of these compounds compared to reference ligand, acarbose further strengthened the validity of these findings. Furthermore, drug‐like behavior and favorable ADMET profiles affirmed scolopianate A and ponasterone A as robust α‐glucosidase inhibitors. These findings highlight their promise for future drug development targeting α‐glucosidase inhibition in diabetes management; however, more research needs to be conducted.
- 1 January 2024
- Published by Wiley in Journal of Chemistry
- Vol. 2024 (1)
Open AccessExploration of Potent Human α‐Glucosidase Inhibitors Using In Silico Approaches: Molecular Docking, DFT, Molecular Dynamics Simulations, and MMPBSA
Inhibiting α‐glucosidase, a key enzyme in carbohydrate hydrolysis, can potentially control diabetes mellitus. Although commercially available drugs effectively lower blood glucose levels to mitigate hyperglycemia, their associated gastrointestinal side effects necessitate the exploration of explicit inhibitors with minimal side effects. We studied a library of 80 secondary metabolites ascribed to their antidiabetic properties and screened the most potent inhibitors using a comprehensive in silico approach, including molecular docking, DFT study, MD simulation, PCA, MMPBSA calculation, and pharmacokinetic analysis. Scolopianate A and ponasterone A emerged as potent α‐glucosidase inhibitors, forming hydrogen bonds with the catalytic diad and exhibiting prominent binding affinities of −8 kcal/mol. Further analyses encompassed significant reactivity at the catalytic site and stable protein‐ligand complexes, as asserted by 100 ns RMSD, RMSF, Rg, SASA, H‐bond, and PCA‐based free energy landscape analysis. The subsequent analysis of MMPBSA indicating a higher binding free energy of these compounds compared to reference ligand, acarbose further strengthened the validity of these findings. Furthermore, drug‐like behavior and favorable ADMET profiles affirmed scolopianate A and ponasterone A as robust α‐glucosidase inhibitors. These findings highlight their promise for future drug development targeting α‐glucosidase inhibition in diabetes management; however, more research needs to be conducted.
- Open Access
- 8 September 2022
- Published by MDPI AG in Scientia Pharmaceutica
- Vol. 90 (3) , 55
LC-HRMS-Based Profiling: Antibacterial and Lipase Inhibitory Activities of Some Medicinal Plants for the Remedy of Obesity
Globally, obesity is a serious health concern that causes numerous diseases, including type 2 diabetes, hypertension, cardiovascular diseases, etc. Medicinal plants have been used to aid in weight loss since ancient times. Thus, this research is focused on the exploration of pancreatic lipase inhibitory activity and secondary metabolite profiling of Bergenia ciliata, Mimosa pudica, and Phyllanthus emblica, selected based on an ethnobotanical survey. The lipase inhibition was investigated using 4-nitrophenyl butyrate (p-NPB) as a substrate. To uncover further therapeutic potentials of these medicinal plants, antimicrobial activity and minimum inhibitory concentration (MIC) of the extracts were also determined. The ethyl acetate plant extracts showed higher antimicrobial activity against Staphylococcus aureus, Escherichia coli, Salmonella typhi, and Shigella sonnei. The MIC of ethyl acetate extracts of medicinal plants considered in this study ranges from 1.56 to 6.25 mg/mL. The hexane fraction of Mimosa pudica and Phyllanthus emblica showed a higher lipase inhibitory activity as compared to others, with IC50 values of 0.49 ± 0.02 and 2.45 ± 0.003 mg/mL, respectively. In the case of Bergenia ciliata, the methanolic extract inhibited lipase more effectively than others, with an IC50 value of 1.55 ± 0.02 mg/mL (IC50 value of orlistat was 179.70 ± 3.60 µg/mL). A mass spectrometry analysis of various solvent/solvent partition fractions (extracts) revealed 29 major secondary metabolites. The research offers a multitude of evidence for using medicinal plants as antiobesity and antimicrobial agents.
- 8 September 2022
- Published by MDPI AG in Scientia Pharmaceutica
- Vol. 90 (3) , 55
Open AccessLC-HRMS-Based Profiling: Antibacterial and Lipase Inhibitory Activities of Some Medicinal Plants for the Remedy of Obesity
Globally, obesity is a serious health concern that causes numerous diseases, including type 2 diabetes, hypertension, cardiovascular diseases, etc. Medicinal plants have been used to aid in weight loss since ancient times. Thus, this research is focused on the exploration of pancreatic lipase inhibitory activity and secondary metabolite profiling of Bergenia ciliata, Mimosa pudica, and Phyllanthus emblica, selected based on an ethnobotanical survey. The lipase inhibition was investigated using 4-nitrophenyl butyrate (p-NPB) as a substrate. To uncover further therapeutic potentials of these medicinal plants, antimicrobial activity and minimum inhibitory concentration (MIC) of the extracts were also determined. The ethyl acetate plant extracts showed higher antimicrobial activity against Staphylococcus aureus, Escherichia coli, Salmonella typhi, and Shigella sonnei. The MIC of ethyl acetate extracts of medicinal plants considered in this study ranges from 1.56 to 6.25 mg/mL. The hexane fraction of Mimosa pudica and Phyllanthus emblica showed a higher lipase inhibitory activity as compared to others, with IC50 values of 0.49 ± 0.02 and 2.45 ± 0.003 mg/mL, respectively. In the case of Bergenia ciliata, the methanolic extract inhibited lipase more effectively than others, with an IC50 value of 1.55 ± 0.02 mg/mL (IC50 value of orlistat was 179.70 ± 3.60 µg/mL). A mass spectrometry analysis of various solvent/solvent partition fractions (extracts) revealed 29 major secondary metabolites. The research offers a multitude of evidence for using medicinal plants as antiobesity and antimicrobial agents.