This 2-hour module is specially designed for scientists and researchers related to pharma industries. You will Learn: -

Enzyme Kinetics

•Michaelis-Menten Analysis: Prism allows you to easily fit enzyme kinetic data to the Michaelis-Menten equation. By obtaining parameters such as Vmax and Km, you can characterize enzyme activity and substrate binding.

•Competitive Inhibition: Prism enables you to analyze enzyme kinetic data in the presence of competitive inhibitors. You can calculate inhibition constants (Ki) and assess the impact of inhibitors on enzyme function.

Pharmacology

•Dose-Response Analysis: Prism simplifies the process of fitting and analyzing dose-response curves. You can determine important parameters like EC50, efficacy, and potency, enabling you to evaluate the effectiveness of drugs or compounds.

•Binding Saturation Analysis: Prism provides tools for analyzing binding saturation data, allowing you to determine receptor saturation levels and affinity constants (Kd). This aids in studying ligand-receptor interactions and assessing binding characteristics.

•Schild Competitive Antagonist Analysis: Prism supports Schild analysis, which helps evaluate the competitive nature of antagonists. You can determine pA2 values and assess the potency of competitive antagonists.

•Global Nonlinear Regression: Prism offers robust global nonlinear regression capabilities. This feature allows you to fit complex pharmacological models to your experimental data, enabling more accurate parameter estimation and comprehensive analysis.

Operational Model of Agonist Action: 

Prism facilitates analysis based on the operational model of agonism. You can determine key parameters such as affinity, efficacy, and cooperativity of agonists, providing a deeper understanding of agonist-receptor interactions.

The Basic module of our Training introduces you to the fundamentals of Biostatistics with the help of this 2-hour session you will gain a strong foundation in biostatistics, you will learn: -

• Statistical Analysis Techniques: Learn essential statistical tests to analyze data and draw meaningful conclusions which include-test ANOVA chi-square tests, correlation analysis, hypothesis testing, confidence intervals, and basic regression analysis.

• Data Visualization: Acquire skills in visualizing and presenting data effectively to communicate research findings.

• Problem Solving: Develop problem-solving abilities to address common challenges encountered during biostatistical analyses.

The professional module introduces you to GraphPad Prism software this 2-hour session will help you to master GraphPad Prism software. You will learn: -

• GraphPad Prism Overview: Familiarize yourself with the features and functionalities of GraphPad Prism, a powerful software where you can import your data, perform advanced statistical analyses and data visualization, generate publication-quality graphs, and obtain comprehensive reports easily.
• Data Management and Quality Control: Learn Various forms of data tables and effective data management techniques, quality control measures to enhance the accuracy and validity of your analyses.
• Advanced Statistical Analysis: Expand your statistical knowledge by learning techniques such as ANOVA, nonparametric tests-Normality and Outlier tests– Chi Square tests– Fisher’s exact test– Correlation– Regression.
• Experimental Design: Gain insights into experimental design principles and strategies to ensure robust and reliable results.
• Decision-Making: Acquire skills to make informed decisions in study design, statistical modelling, and interpretation of results.