Subject – Machine Learning for Drug Discovery and Bioinformatics
Industry – Machine Learning and AI
Introduction:
Welcome to the eLearning course on Drug Target Prediction and Virtual Screening, offered by T24Global Company. In this course, we will explore the fascinating field of drug discovery and how machine learning and artificial intelligence techniques are revolutionizing the process.
Drug discovery is a complex and time-consuming task that involves identifying potential drug targets and screening large libraries of compounds to find those with therapeutic potential. Traditionally, this process has relied heavily on experimental methods, which are expensive, time-consuming, and often yield limited success. However, recent advancements in machine learning and AI have opened up new possibilities for accelerating drug discovery and improving its success rate.
This course aims to provide you with a comprehensive understanding of the principles and techniques involved in drug target prediction and virtual screening using machine learning and AI. We will start by introducing the basics of drug discovery, including the different stages involved and the challenges faced by researchers in this field. We will then delve into the role of machine learning and AI in addressing these challenges and enhancing the drug discovery process.
Throughout the course, you will learn about various computational methods used in drug target prediction, such as ligand-based and structure-based approaches. You will understand how machine learning algorithms can be trained to predict the activity of a compound against a specific target based on its chemical structure or other relevant features. We will explore different types of molecular descriptors and fingerprints commonly used in drug discovery and how they can be utilized for target prediction.
Virtual screening, another crucial aspect of drug discovery, will also be covered in this course. You will learn how machine learning and AI techniques can be applied to efficiently screen large libraries of compounds and identify potential drug candidates. We will discuss various virtual screening methods, including docking, molecular dynamics simulations, and machine learning-based approaches.
By the end of this course, you will have gained a solid understanding of the principles and techniques involved in drug target prediction and virtual screening using machine learning and AI. You will be equipped with the knowledge and skills necessary to contribute to the advancement of drug discovery and development. Whether you are a student, researcher, or industry professional, this course will provide you with valuable insights into the cutting-edge technologies shaping the future of drug discovery.
Join us on this exciting journey as we explore the intersection of machine learning, AI, and drug discovery. Let’s unlock the potential of these technologies in the pursuit of novel therapeutics and improved healthcare outcomes. Get ready to dive into the world of Drug Target Prediction and Virtual Screening!
NOTE – Post purchase, you can access your course at this URL – https://mnethhil.elementor.cloud/courses/drug-target-prediction-and-virtual-screening/ (copy URL)
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Lessons Included