Automated Author ProfileKant, Kamal
Kant, Kamal
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
A recent research has identified chymase, a mast cell-specific protease as an exclusive novel therapeutic target to prevent Japanese encephalitis virus (JEV) induced encephalitis. Interestingly, JEV activates mast cell specific chymase during its penetration through blood brain barrier (BBB) which eventually guide to viral encephalitis. Hence, in this study, natural chemical entities (NCE) from multiple databases (MPD3, TIPDB and MTDP) were virtually screened for their binding affinity as chymase inhibitors, a promising negotiator for prolong survival against JEV tempted encephalitis. Merged computational programs, Maestro software, QikProp, ProTox and Gromacs were applied to screen the NCEs against target receptor (PDB: 4KP0). Three hits (C00008437, C00014417 and 8141903) were identified after employing a series of sieves such as High Throughput Virtual Screening (HTVS), Standard precision (SP) and Xtra precision (XP) molecular docking simulations followed by desired pharmacokinetic-toxicity profile predictions and molecular dynamics (MD) examinations. Maestro simulations resulted in best three binding energy scores as −11.992 kcal/mol (first ranked; C00008437), −11.673 kcal/mol (second ranked; C00014417) and −11.456 kcal/mol (third ranked; 8141903), respectively. The top three hits revealed an ideal range of pharmacokinetic and toxicity descriptors values. In addition, MD simulations enabled us to confirm top hits higher selectivity toward chymase receptor. In conclusion, this might potentially represent remarkable novel classes with an effective chymase mediated treatment to combat JEV induced encephalitis, which need to justify with further detail studies. Communicated by Ramaswamy H. Sarma
Authors
- Kant, Kamal ;
- Rawat, Ravi ;
- Vipin Bhati ;
- Shailesh Bhosale ;
- Dalchand Sharma ;
- Subham Banerjee ;
- Anoop Kumar
A recent research has identified chymase, a mast cell-specific protease as an exclusive novel therapeutic target to prevent Japanese encephalitis virus (JEV) induced encephalitis. Interestingly, JEV activates mast cell specific chymase during its penetration through blood brain barrier (BBB) which eventually guide to viral encephalitis. Hence, in this study, natural chemical entities (NCE) from multiple databases (MPD3, TIPDB and MTDP) were virtually screened for their binding affinity as chymase inhibitors, a promising negotiator for prolong survival against JEV tempted encephalitis. Merged computational programs, Maestro software, QikProp, ProTox and Gromacs were applied to screen the NCEs against target receptor (PDB: 4KP0). Three hits (C00008437, C00014417 and 8141903) were identified after employing a series of sieves such as High Throughput Virtual Screening (HTVS), Standard precision (SP) and Xtra precision (XP) molecular docking simulations followed by desired pharmacokinetic-toxicity profile predictions and molecular dynamics (MD) examinations. Maestro simulations resulted in best three binding energy scores as −11.992 kcal/mol (first ranked; C00008437), −11.673 kcal/mol (second ranked; C00014417) and −11.456 kcal/mol (third ranked; 8141903), respectively. The top three hits revealed an ideal range of pharmacokinetic and toxicity descriptors values. In addition, MD simulations enabled us to confirm top hits higher selectivity toward chymase receptor. In conclusion, this might potentially represent remarkable novel classes with an effective chymase mediated treatment to combat JEV induced encephalitis, which need to justify with further detail studies. Communicated by Ramaswamy H. Sarma
Authors
- Kant, Kamal ;
- Rawat, Ravi ;
- Vipin Bhati ;
- Shailesh Bhosale ;
- Dalchand Sharma ;
- Subham Banerjee ;
- Anoop Kumar