Kalpana Katiyar
Kalpana Katiyar has a total of 42 co-authors. Here are the top co-authors by number of shared publications:
Anshika Gupta
Dr. Ambedkar Institute of Technology for Divyangjan
4 shared publicationsAkriti Verma
Dr. Ambedkar Institute of Technology for Handicapped
3 shared publications- Aditya Srivastava
Department of Biomedical Engineering, IIT Hyderabad, Kandi, Telangana 502284, India
2 shared publications - Abdullahi Temitope Jamiu
Department of Biomedical Sciences and Pathobiology, Virginia Tech, Blacksburg, USA
1 shared publication - Abdullahi Tunde Aborode
Department of Chemistry, Mississippi State University, Starkville, USA
1 shared publication - Abraham Osinuga
Department of Chemical and Biomolecular Engineering, University of Nebraska-Lincoln
1 shared publication
Latest Publications
- 6 March 2025
- Published by Taylor & Francis in Journal of Biomolecular Structure and Dynamics
- Vol. 43 (18) , 10898-10918
Phytochemical-based drug designing against efflux-pump of ESKAPE pathogen to combat multidrug-resistant: an in silico study
The Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa and Enterobacter species are ciphered as ESKAPE pathogens leading agents for multidrug resistance (MDR) related infections. The current research study used kanamycin nucleotidyltransferase (PDB ID: 1KNY), OXA-24 class D beta-lactamase (PDB ID: 3ZNT), efflux pump proteins as a target to identify potential inhibitor phytochemical for ameliorating antimicrobial resistance caused by ESKAPE pathogens. A total of 61 MDR genes of ESKAPE pathogens were scrutinized phylogenetically and protein-protein interaction (PPIs) analysis were performed. The target proteins for structure-based drug design were culled based on functional partners of efflux pump proteins obtained after PPIs analysis in all ESKAPE pathogens. We deployed a comprehensive sequential filtering approach including high throughput virtual screening of an in-house created bioactive phytochemicals library from the IMPPAT database. First, a molecular docking-based high throughput virtual screening process, followed by meticulous filtering of hits based on binding energy and detailed active-site interaction analysis was performed on each target protein separately. During this stage, native ligands of the target proteins were deployed as a control ligand and for docking protocol validation. These 50 top phytochemicals against both proteins were culled. Then filtration of hits was done based on pharmacokinetics, toxicity and bioactivity of phytochemicals. The retained phytochemicals against each protein were analyzed through density functional theory (DFT) to check potential reactivity. After, analyzing DFT-based energy calculations final lead phytochemicals were selected. The lead phytochemical stability within respective active-site and dynamic behavior was analyzed through molecular dynamic (MD) simulations and principal component analysis (PCA). In this way, diosgenin and paulownin phytochemicals were identified as a lead inhibitor ligand against 1KNY and 3ZNT target receptors, respectively. The 1KNY-diosgenin and 3ZNT-paulownin complexes exhibited binding energies of -8.1 kcal/mol and -9.0 kcal/mol, respectively, forming hydrogen bonds with specific key residues (1KNY-Arg22, Ser105, Thr186) and (3ZNT-Trp221, Tyr 112, Met114) displaying stable dynamic behavior during 100 ns MD simulation, with DFT-based energy gaps of -0.254 52 eV and -0.195 87 eV, respectively, suggesting greater stability compared to control ligands. The diosgenin and paulownin phytochemicals are promising starting natural candidates for drug development against multidrug-resistant infections cure.
- 6 March 2025
- Published by Taylor & Francis in Journal of Biomolecular Structure and Dynamics
- Vol. 43 (18) , 10898-10918
Phytochemical-based drug designing against efflux-pump of ESKAPE pathogen to combat multidrug-resistant: an in silico study
The Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa and Enterobacter species are ciphered as ESKAPE pathogens leading agents for multidrug resistance (MDR) related infections. The current research study used kanamycin nucleotidyltransferase (PDB ID: 1KNY), OXA-24 class D beta-lactamase (PDB ID: 3ZNT), efflux pump proteins as a target to identify potential inhibitor phytochemical for ameliorating antimicrobial resistance caused by ESKAPE pathogens. A total of 61 MDR genes of ESKAPE pathogens were scrutinized phylogenetically and protein-protein interaction (PPIs) analysis were performed. The target proteins for structure-based drug design were culled based on functional partners of efflux pump proteins obtained after PPIs analysis in all ESKAPE pathogens. We deployed a comprehensive sequential filtering approach including high throughput virtual screening of an in-house created bioactive phytochemicals library from the IMPPAT database. First, a molecular docking-based high throughput virtual screening process, followed by meticulous filtering of hits based on binding energy and detailed active-site interaction analysis was performed on each target protein separately. During this stage, native ligands of the target proteins were deployed as a control ligand and for docking protocol validation. These 50 top phytochemicals against both proteins were culled. Then filtration of hits was done based on pharmacokinetics, toxicity and bioactivity of phytochemicals. The retained phytochemicals against each protein were analyzed through density functional theory (DFT) to check potential reactivity. After, analyzing DFT-based energy calculations final lead phytochemicals were selected. The lead phytochemical stability within respective active-site and dynamic behavior was analyzed through molecular dynamic (MD) simulations and principal component analysis (PCA). In this way, diosgenin and paulownin phytochemicals were identified as a lead inhibitor ligand against 1KNY and 3ZNT target receptors, respectively. The 1KNY-diosgenin and 3ZNT-paulownin complexes exhibited binding energies of -8.1 kcal/mol and -9.0 kcal/mol, respectively, forming hydrogen bonds with specific key residues (1KNY-Arg22, Ser105, Thr186) and (3ZNT-Trp221, Tyr 112, Met114) displaying stable dynamic behavior during 100 ns MD simulation, with DFT-based energy gaps of -0.254 52 eV and -0.195 87 eV, respectively, suggesting greater stability compared to control ligands. The diosgenin and paulownin phytochemicals are promising starting natural candidates for drug development against multidrug-resistant infections cure.
- 31 January 2025
- Published by Springer Nature in The Nucleus
- Vol. 69 (1) , 75-97
In-silico discovery of Dipeptidyl Peptidase-4 inhibitors from African medicinal plants: Molecular docking, ADMET, dynamics simulation, and MM-GBSA analyses
- 31 January 2025
- Published by Springer Nature in The Nucleus
- Vol. 69 (1) , 75-97
In-silico discovery of Dipeptidyl Peptidase-4 inhibitors from African medicinal plants: Molecular docking, ADMET, dynamics simulation, and MM-GBSA analyses
- 16 January 2025
- Published by Springer Nature
- p. 225-249
Synergistic Potential of Microbial Communities and Artificial Intelligence in Strengthening Sustainable Wastewater Treatment Solutions
- 16 January 2025
- Published by Springer Nature
- p. 225-249
Synergistic Potential of Microbial Communities and Artificial Intelligence in Strengthening Sustainable Wastewater Treatment Solutions
- 8 December 2024
- Published by Springer Nature
- p. 111-133
Concerns and Future Prospects of Medical Devices and Sensors for Intelligent Cyber-Physical Healthcare Systems
- 8 December 2024
- Published by Springer Nature
- p. 111-133
Concerns and Future Prospects of Medical Devices and Sensors for Intelligent Cyber-Physical Healthcare Systems
- Open Access
- 18 July 2024
- Published by CABI Publishing in CABI Agriculture and Bioscience
- Vol. 5 (1) , 1-12
Computational investigation of the anticancer potential of Sorghum bicolor and Setaria italica phytochemicals against dihydrofolate reductase (DHFR) enzyme
Breast and prostate cancer holds the position of foremost contributors to mortality. Dietary therapies for accompanied by medication are widely recognized as a potential method to successfully tackle cancer. Millet grains are the most ancient food, a perfect combination of proteins, carbohydrates, fiber, macronutrients, micronutrients, and vitamins. This study aims to examine the anticancer potential of Sorghum bicolor (Sorghum) and Setaria italica (Foxtail) phytochemicals. The 50 phytochemicals of sorghum and foxtail millets were retrieved through a literature survey and docked to the Dihydrofolate reductase (DHFR), an enzyme essential for cell growth and proliferation. The top-scoring phytochemicals were filtered and further investigated with active-site residue interaction, drug-likeness, and pharmacokinetics analysis. The ligand stability with the DHFR was evaluated through density functional theory (DFT) based HOMO and LUMO calculations. The results show that caffeic acid, ferulic acid, hesperetic acid, stigmasterol, Cis-p-Coumaric acid, and luteolinidin attained greater stability within the active site of DHFR. These phytochemicals showed a docking score of − 6.4 kcal/mol, − 6.4 kcal/mol, − 6.1 kcal/mol, − 6.4 kcal/mol, − 5.4 kcal/mol, and − 6.7 kcal/mol with DHFR (PDB ID:1BOZ) and flutamide and capecitabine have docking score of − 7.5 and − 8.1 for 1BOZ and − 7.4 and − 7.1 with DHFR (PDB ID:1OHK) respectively. The dynamic interaction at the molecular level validated the stability of these phytochemicals against both DHFR target proteins along with excellent drug-likeness and pharmacokinetic properties. However, the current findings were proven and validated through in-silico experiments to validate above identified phytochemicals as DHFR inhibitors, so millets are used as therapeutics for breast and prostate cancer.
- 18 July 2024
- Published by CABI Publishing in CABI Agriculture and Bioscience
- Vol. 5 (1) , 1-12
Open AccessComputational investigation of the anticancer potential of Sorghum bicolor and Setaria italica phytochemicals against dihydrofolate reductase (DHFR) enzyme
Breast and prostate cancer holds the position of foremost contributors to mortality. Dietary therapies for accompanied by medication are widely recognized as a potential method to successfully tackle cancer. Millet grains are the most ancient food, a perfect combination of proteins, carbohydrates, fiber, macronutrients, micronutrients, and vitamins. This study aims to examine the anticancer potential of Sorghum bicolor (Sorghum) and Setaria italica (Foxtail) phytochemicals. The 50 phytochemicals of sorghum and foxtail millets were retrieved through a literature survey and docked to the Dihydrofolate reductase (DHFR), an enzyme essential for cell growth and proliferation. The top-scoring phytochemicals were filtered and further investigated with active-site residue interaction, drug-likeness, and pharmacokinetics analysis. The ligand stability with the DHFR was evaluated through density functional theory (DFT) based HOMO and LUMO calculations. The results show that caffeic acid, ferulic acid, hesperetic acid, stigmasterol, Cis-p-Coumaric acid, and luteolinidin attained greater stability within the active site of DHFR. These phytochemicals showed a docking score of − 6.4 kcal/mol, − 6.4 kcal/mol, − 6.1 kcal/mol, − 6.4 kcal/mol, − 5.4 kcal/mol, and − 6.7 kcal/mol with DHFR (PDB ID:1BOZ) and flutamide and capecitabine have docking score of − 7.5 and − 8.1 for 1BOZ and − 7.4 and − 7.1 with DHFR (PDB ID:1OHK) respectively. The dynamic interaction at the molecular level validated the stability of these phytochemicals against both DHFR target proteins along with excellent drug-likeness and pharmacokinetic properties. However, the current findings were proven and validated through in-silico experiments to validate above identified phytochemicals as DHFR inhibitors, so millets are used as therapeutics for breast and prostate cancer.
- 1 December 2023
- Published by Springer Nature
- p. 335-348
Student’s Stress Detection in Online Learning During the Outbreak
- 1 December 2023
- Published by Springer Nature
- p. 335-348
Student’s Stress Detection in Online Learning During the Outbreak
- 2 September 2022
- Published by Elsevier
- p. 225-252
Data-driven machine learning: A new approach to process and utilize biomedical data
- 2 September 2022
- Published by Elsevier
- p. 225-252
Data-driven machine learning: A new approach to process and utilize biomedical data
- 23 August 2022
- Published by Springer Nature
- p. 209-229
Interpretation of Biosignals and Application in Healthcare
- 23 August 2022
- Published by Springer Nature
- p. 209-229
Interpretation of Biosignals and Application in Healthcare