I will get a lead herbal phytochemical gbm in silico study
Computational Drug Discovery and Bioinformatics Specialist
About this Gig
Publication-Ready Computational Drug Discovery Research
I provide comprehensive network pharmacology, molecular docking, molecular dynamics (100 ns), MM/PBSA binding free energy analysis, ADMET prediction, and publication-ready data visualization for computational drug discovery projects.
My portfolio includes a herbal phytochemical that demonstrated more favourable in silico performance than a selected FDA-approved reference drug against glioblastoma (GBM) through integrated network pharmacology, molecular docking, molecular dynamics simulation, and MM/PBSA analysis.
Services include:
- Network Pharmacology
- Target Identification
- GO & KEGG Enrichment Analysis
- ProteinProtein Interaction Network
- Molecular Docking
- Molecular Dynamics Simulation (100 ns)
- RMSD, RMSF, Rg & SASA Analysis
- Hydrogen Bond Analysis
- MM/PBSA Binding Energy Analysis
- ADMET Prediction
- Publication-Ready Figures & Tables
- Complete Documentation
If you're looking for publication-quality computational drug discovery research, I'm here to help.
Programming language:
Python
Technology:
MATLAB
Analysis Type:
Quantitative Analysis
•
Statistical Analysis
Expertise:
Statistics
•
Hypothesis testing
Tools:
Jamovi
•
Minitab
•
Microsoft Excel
