Virtual Screening for Drug Discovery

Learn In-silico lead like drug discovery using virtual screening technique

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Virtual Screening for Drug Discovery

What You Will Learn!

  • Introduction to Virtual Screening
  • Introduction to different types of virtual screening
  • How to download compound libraries from public databases
  • How to prepare protein and compounds database for virtual screening
  • How to execute virtual screening
  • How to analyze virtual screening result

Description

Virtual Screening for Drug Discovery - Learn In-silico lead like drug discovery using virtual screening technique:

A perfect course for beginner level Bachelors / Masters / PhD students / scholars / researchers involved in In-silico drug discovery or enthusiasts interested in learning how to apply different types of virtual screening techniques for lead like drug compound identification against a drug target of interest. By the time you complete this course, you will be equipped with the knowledge required to execute virtual screening on your own starting from setting up the software to analyzing results.

Virtual screening (also referred as In-silico screening) is a computational technique used in drug discovery to search libraries of small molecules in order to identify those structures which are most likely to bind to a drug target, typically a protein receptor or enzyme. The principles of virtual screening include measuring the presence or absence of specific substructures, matching certain calculated molecular properties, and fitting putative ligand molecules into the target receptor site. As the accuracy of the method has increased, virtual screening has become an integral part of the drug discovery process. This method can design and optimize various libraries from available compounds. According to the increased accuracy with decreased costs of this approach, in silico screening has now become an indispensable part of the drug discovery process.

Who Should Attend!

  • Beginner level In silico drug discovery students / scholars / researchers

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Tags

  • Bioinformatics

Subscribers

313

Lectures

12

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