Learn Drug Designing with Python and AI

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Free Download Learn Drug Designing with Python and AI
Published 7/2024
Created by Ashfaq Ahmad
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 6 Lectures ( 2h 16m ) | Size: 1.34 GB

Python and AI for Drug Designing
What you'll learn:
Get ready to be introduced to Google Colab, the powerful, cloud-based tool that revolutionizes the way you run Python code for data analysis
Learn how to effortlessly fetch data from bioassay databases, specifically ChEMBL, with Google Colab.
Discover the world of Google Colab with a detailed introduction to its rich collection of drug designing notebooks.
Get ready to dive into the fascinating world of Artificial Neural Network Models and unlock their potential with hands-on learning.
Learn how to define, compile, fit, and evaluate your models with step-by-step training.
Finally, learn how to test unknown compounds on your trained model and unlock new insights with ease.
In the closing session, I'll provide future research directions to guide your continued exploration and innovation!
Requirements:
This course has no prerequisites-everyone is welcome to join and start learning right away.
Description:
Are you from a life sciences background and eager to dive into the world of drug design? Our comprehensive course, "Master Drug Designing with Python and AI," is tailor-made for you.Unlock the potential of Python and artificial intelligence as you learn to run professional scripts and codes effortlessly in the user-friendly environment of Google Colab. This course provides free access to specialized, custom-designed notebooks that will guide you step-by-step through the intricacies of drug design. Upon completion, you will be able to identify, fetch, and filter your data. In addition to a basic introduction, you will also be able to define and compile your own ANN model and use it for fitting and evaluation on your data. Finally, this course will enable you to predict pIC50 for the unknown compounds present in your dataset.Besides learning the tricks, I will introduce you to the tailor-made Google Colab notebooks specifically written to handle projects ranging from simple to complex. I gurantee you that after taking this course you will take much more things as skills, and can treat variety of compounds data.Join us and transform your expertise in life sciences into cutting-edge skills in drug discovery and development. Let's innovate together!
Who this course is for:
Ideal for researchers and students from Life Sciences, this course opens up new frontiers in data analysis and AI
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