IC50 Value Calculation using Various Methods | การหาค่า ic50

IC50 Value Calculation using Various Methods


นอกจากการดูบทความนี้แล้ว คุณยังสามารถดูข้อมูลที่เป็นประโยชน์อื่นๆ อีกมากมายที่เราให้ไว้ที่นี่: ดูความรู้เพิ่มเติมที่นี่

IC50 Value Calculation using Various Methods
I have used [Inhibitor] vs. response Variable slope (four parameters): In the GraphpadPrisom

IC50 Value Calculation using Various Methods

Radical Scavenging Activity Measurement and IC50 Calculation DPPH Assay in Excel


This video explains about the Radical Scavenging Activity Measurement and IC50 Calculation from DPPH Assay in excel
DPPH Assay: Radical Scavenging Activity Assay Principle, Procedure, Advantages and Limitations
https://youtu.be/Yjl8LfDQBqY
DPPH Assay:
DPPH assay was discovered by Goldschmidt and Renn in the 1920s. DPPH stands for 2, 2diphenyl1picrylhydrazyl. It is a stable free radical with purple colour which turn yellow when scavenged. DPPH is used for measuring the Total Antioxidant Capacity (TAC).
Antioxidant capacity is an overall ability of organisms or food to catch free radicals and prevent their harmful effect.
The % radical scavenging activity of the sample can be calculated using the following formula,
%𝑹𝑺𝑨=(𝑨𝒃𝒔 𝒐𝒇 𝒄𝒐𝒏𝒕𝒓𝒐𝒍 −𝑨𝒃𝒔 𝒐𝒇 𝒔𝒂𝒎𝒑𝒍𝒆)/(𝑨𝒃𝒔 𝒐𝒇 𝒄𝒐𝒏𝒕𝒓𝒐𝒍)∗ 𝟏𝟎𝟎

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Radical Scavenging Activity Measurement and IC50 Calculation DPPH Assay in Excel

GraphPad Prism 8 | Finding IC50 value | Junaid Asghar PhD


Prism can easily fit a dose response curve to determine the IC50. Let’s see how? This is a quick guide to all the steps you need to follow.
Just open your Prism software, and analyze your own data side by side. Enjoy !!
For a detailed audiovisual of this analysis, please visit:
https://youtu.be/7bQYbG5w0FM

Prism
GraphPadPrism
IC50
JunaidAsgharPhD

GraphPad Prism 8 | Finding IC50 value | Junaid Asghar PhD

ic50 determination in excel


This video is a tutorial for calculating the ic50 value using excel (Excel 2019).

ic50 determination in excel

Python for Bioinformatics – Drug Discovery Using Machine Learning and Data Analysis


Learn how to use Python and machine learning to build a bioinformatics project for drug discovery.
✏️ Course developed by Chanin Nantasenamat (aka Data Professor). Check out his YouTube
channels for more bioinformatics and data science tutorials:
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🔗 And Medium blog posts for more data science tutorials https://dataprofessor.medium.com/
⭐️ Code ⭐️
💻 Parts 15 https://github.com/dataprofessor/bioinformatics_freecodecamp/
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⭐️ Course Contents ⭐️
⌨️ (0:00) Introduction
⌨️ (4:29) Part 1 Data collection
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⌨️ (49:41) Part 3 Descriptor calculation
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Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis

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