Subject – Machine Learning in Drug Design and Discovery
Industry – Machine Learning and AI
Introduction:
Welcome to the eLearning course on Computational Drug Screening and Target Identification, brought to you by T24Global Company. In this course, we will explore the fascinating field of drug discovery and how it is revolutionized by the integration of Machine Learning (ML) and Artificial Intelligence (AI) techniques.
The process of developing new drugs is a complex and time-consuming endeavor. Traditionally, it involves synthesizing and testing thousands of compounds to identify potential drug candidates. However, with the advancements in ML and AI, computational methods are playing an increasingly important role in streamlining this process.
This course aims to provide you with a comprehensive understanding of the principles and techniques involved in computational drug screening and target identification. We will delve into the fundamentals of ML and AI and explore how these technologies are applied in the field of drug discovery.
The course will begin with an overview of drug discovery and the challenges associated with it. We will discuss the traditional methods used for drug screening and target identification and highlight their limitations. This will set the stage for understanding the need for computational approaches in the field.
Next, we will explore the foundational concepts of ML and AI and how they can be leveraged for drug discovery. You will learn about different ML algorithms and their applications in predicting drug-target interactions, identifying potential drug candidates, and optimizing drug properties.
We will then delve into the specifics of computational drug screening. You will gain insights into various techniques used to virtually screen large chemical libraries and prioritize potential drug candidates. We will discuss the importance of molecular docking, ligand-based and structure-based virtual screening, and how ML and AI are employed to enhance these methods.
Moving forward, we will focus on target identification, a crucial step in the drug discovery process. You will learn about the various approaches used to identify potential drug targets, including genomics, proteomics, and network analysis. We will explore how ML and AI algorithms are applied to analyze large-scale biological data and identify novel drug targets.
Throughout the course, we will emphasize the practical aspects of computational drug screening and target identification. You will have the opportunity to work on real-world case studies and hands-on exercises to reinforce your understanding of the concepts discussed.
By the end of this course, you will have a strong foundation in the application of ML and AI in computational drug screening and target identification. You will be equipped with the knowledge and skills necessary to contribute to the development of new drugs and make a significant impact in the field of pharmaceutical research.
We are excited to embark on this learning journey with you. Let’s dive into the world of computational drug discovery and explore the potential of ML and AI in revolutionizing the field.
NOTE – Post purchase, you can access your course at this URL – https://mnethhil.elementor.cloud/courses/computational-drug-screening-and-target-identification/ (copy URL)
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Lessons Included