Training Schedules
Verdant Legacy – Annual Training Plan 2025–2026CY | ||||
| Registration time | Aug-25 | Sep-25 | Oct-25 |
Start Time | September 2025 | October-November 2025 | November-December 2025 | |
Topic | Beginner Level | Intermediate Level | Advanced Level | |
Course 1 | Network Pharmacology with Cytoscape | Learn basic Cytoscape interface and visualization; understand nodes, edges, and simple networks. | Construct and analyze biological networks; identify hub nodes and basic interactions | Perform advanced network analysis; integrate multi-omics data; interpret complex pharmacological networks |
Drug Repurposing and Docking Basics | Understand principles of drug repurposing and molecular docking; learn basic tools | Perform simple docking simulations; analyze docking scores; identify potential drug-target interactions | Conduct advanced docking studies; optimize ligand and receptor selection; interpret binding energies and interactions critically | |
Case Study: Natural Product Discovery | Learn workflow of natural product research; review simple examples | Analyze real datasets; apply tools from previous modules (metabolomics, network pharmacology) | Conduct independent case studies; integrate metabolomics, docking, and network analysis for decision-making and compound prioritization | |
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Course 2 | Registration time | 1st – Dec 2025 | 15 Dec-25 | 1st January 2026 |
Start Date | 16 December 2025- 31st December 2025 | 1st January 2025- 15 January 2026 | 15 January 2025- 15 February 2026 | |
LC-MS/GC-MS Raw Data Interpretation | Learn basic principles of LC-MS/GC-MS; understand peaks, retention time, and spectra | Analyze raw data; identify compounds; perform basic quantification | Perform advanced peak deconvolution; handle complex datasets; validate compound identification | |
KEGG Pathway Mapping | Understand basic concepts of metabolic pathways; learn how to navigate KEGG database | Map identified metabolites to pathways; interpret pathway diagrams | Perform pathway enrichment analysis; integrate multi-omics data; identify key pathway nodes and interactions | |
Untargeted Metabolomics Workflow | Learn steps of untargeted metabolomics; sample preparation and data acquisition | Process raw data; normalize, annotate, and identify metabolites | Apply advanced statistical and computational tools; interpret global metabolomic profiles; integrate with biological context | |
Compound Prioritization Strategies | Understand basic criteria for prioritizing compounds (e.g., abundance, novelty) | Rank compounds using scoring metrics; consider biological relevance | Develop comprehensive prioritization pipelines; integrate bioactivity, pharmacokinetics, and pathway information | |
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Course 3 | Registration time | 15 – Feb 2026 | 15 – march-2026 | 15 – april-2026 |
Start Date | March- 2026 | April 2026 | April-May 2026 | |
Introduction to SPSS | Learn basic interface, menus, and data entry; create simple tables and graphs | Import and manage datasets; perform basic descriptive statistics; generate charts and plots | Automate workflows, use advanced functions and macros; integrate SPSS | |
ANOVA and Correlation Analysis | Understand basic concepts of variance and correlation; perform simple one-way ANOVA | Conduct two-way ANOVA; interpret correlation coefficients; check assumptions | Perform multivariate ANOVA, repeated measures; interpret advanced correlation and regression models | |
Heatmaps and PCA Visualization | Understand basic principles of heatmaps and PCA; create simple plots | Generate heatmaps and PCA plots from real datasets; interpret clustering patterns | Optimize visualization parameters; perform advanced dimensionality reduction and interpret complex datasets | |
Outlier Detection and Data Cleaning | Learn basic data cleaning techniques; identify obvious outliers | Apply statistical methods for outlier detection; handle missing or inconsistent data | Implement advanced data preprocessing pipelines; automate cleaning processes; perform robust statistical validation | |
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Course 4 | Registration time | 15 – May 2026 | 15 – June-2026 | 15 – July-2026 |
Start date | June – 2026 | July – 2026 | Aug-26 | |
Green Synthesis of Nanoparticles | Learn basic concepts, principles, and types of nanoparticles; understand green vs chemical synthesis | Perform simple synthesis experiments; optimize reaction conditions (temperature, pH, reducing agents) | Design and troubleshoot synthesis protocols; analyze reaction mechanisms; scale-up considerations | |
UV-Vis and FTIR Spectroscopy Interpretation | Understand basic principles; identify main peaks in standard spectra | Analyze spectra of nanoparticles; correlate peaks with functional groups and formation | Perform quantitative spectral analysis; interpret complex overlapping peaks; validate nanoparticle characteristics | |
SEM and EDX Imaging Techniques | Learn principles; observe sample preparation; interpret simple images | Capture nanoparticle images; measure size, shape, morphology; perform elemental analysis | Optimize imaging parameters; perform high-resolution imaging; quantitatively analyze elemental composition and distribution | |
XRD Analysis for Nanomaterials | Understand principles; identify crystal structures; read simple diffraction patterns | Analyze nanoparticle diffraction patterns; determine crystallite size using Scherrer equation | Perform in-depth phase identification; detect strain, defects, polymorphism; interpret complex multi-phase patterns | |
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Beginner Level → FREE
Intermediate & Advanced Levels → PAID
Fee Structure:
- Intermediate Level: $30
- Advanced Level: $60
Payment Methods:
- Bank Transfer: VERDANT LEGACY PUBLISHERS (SMC-PRIVATE)L– PK64FAYS3583301000005289
- After payment:
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