Introduction to Computational Antibody Engineering

A Schrödinger Online Course

Computational molecular modeling tools have proven effective in antibody development and are increasing in use across the antibody discovery industry. The antibody engineers of today will increasingly encounter molecular modeling throughout their careers making it critical to have foundational understanding of the relevant tools and methods.

Schrödinger's online course, Introduction to Computational Antibody Engineering, will show how industry-leading computational molecular modeling solutions are used to aid in antibody discovery and design and how to incorporate these computational approaches into your research project. This course will also provide a chance to work hands-on with Schrödinger's BioLuminate software.

Whether you are looking for professional development, expanded skills for your CV, or a consistent way to onboard new employees, this course will provide practical applications of computational modeling relevant to a wide range of research topics. At the end of the course, you will have a chance to apply the concepts you've learned to a 5-part case study using cutting-edge technology.
 

Access to relevant Schrödinger software is included during the course.

Session Dates Registration and Payment Deadline
November 8th, 10:00 AM ET - December 15th, 4:59 PM ETNovember 4th, 8:00 PM ET
February 7th, 10:00 AM ET - March 16th, 4:59 PM ET (2022)February 3rd, 8:00 PM ET (2022)
April 18th, 10:00 AM ET - May 25th, 4:59 PM ET (2022)April 13th, 8:00 PM ET (2022)

Cost

The course fee is $475 for non-student users and $350 for student users. Groups of 5 or more get a $50 discount per person.

 

Course Outline:

Broken up into 5 modules, this course is entirely self-paced during the course session. It will take approximately 25 hours for someone new to computational modeling to complete (actual time may vary depending on experience). The modules can be done on your own schedule. 

Schrödinger online courses do not require any books or access to journals (though many references are included for those who do have journal access). Access to a computer with a high-speed internet connection (8 Mbps or better) is required to complete the course. 

Module 1 - Introduction and Overview

  • Read: Module 1 Background Resources, Key Terms, and Bibliography
  • Video: Introduction to Computational Antibody Engineering Course Overview
  • Video: Introduction to Computational Antibody Engineering
  • Read: Development of Therapeutic Antibodies for Treatment of Disease

 

Module 2 - Basic Tasks and Workflows in BioLuminate

  • Read: Module 2 Key Terms and Bibliography
  • Video: Basic Tasks in BioLuminate Part 1
  • Video: Basic Tasks in BioLuminate Part 2
  • Video: Basic Tasks in BioLuminate Part 3
  • Video: Basic Tasks in BioLuminate Part 4
  • Video: Basic Tasks in BioLuminate Part 5
  • Video: Basic Tasks in BioLuminate Part 6
  • Read: Five Computational Developability Guidelines for Therapeutic Antibody Profiling

 

Module 3 - Exploring Your Toolbox for Structure-based and Sequence-based Design and Analysis

  • Read: Module 3 Key Terms and Bibliography
  • Video: Antibody Structure Preparation and Analysis
  • Video: Antibody Structure Prediction
  • Video: Protein Structure Alignment and Protein-Protein Interface Analysis
  • Video: Introduction to the Multiple Sequence Viewer/Editor Part 1
  • Video: Introduction to the Multiple Sequence Viewer/Editor Part 2
  • Read: Antibody Loop Modeling Cheat Sheet
  • End of Module Assignment

 

Module 4 - Antibody Modeling Case Studies

  • Read: Engineering the Surface Properties of a Human Monoclonal Antibody Prevents Self-Association and Rapid Clearance In Vivo
  • Video: Protein Surface Analysis Case Study
  • Video: Antibody Structure Prediction and  Humanization Case Study
  • Video: Protein-Protein Docking Case Study
  • Video: Residue Scanning Case Study
  • Read: Computational Protein Engineering Workflows and Best Practices
  • End of Module Exercises

 

Module 5 - Final Case Study

  • Video: Case Study Part 1 -  Introduction 
  • Tutorial: Case Study Part 2
  • Tutorial: Case Study Part 3
  • Tutorial: Case Study Part 4
  • Assignment
  • Tutorial: Case Study Part 5
  • Final Assignment

 

Get Started!

Ready to start learning? Simply click the register button below to get started. Please note, a Schrödinger Web Account is required to access the registration page. If you don't already have a web account you can request one here. For additional information about the course, please email online-learning@schrodinger.com.

 

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