SCHRÖDINGER ONLINE LEARNING

Online Courses in Molecular Modeling

 

Computational molecular modeling tools are changing the world of drug discovery and design. And yet while managing automated systems is anticipated to be an expectation of chemists going forward,1 employers are having a hard time finding workers skilled in the tools they need.2

Schrödinger's online courses show how industry-leading computational molecular modeling tools are used in drug discovery and materials design, and how you can incorporate these tools into research projects. In addition to utilizing modern techniques such as active learning and multimodal teaching, these courses will also provide a chance to work hands-on with Schrödinger software.

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

If you have any questions don't hesitate to email us at online-learning@schrodinger.com

 

Current course offerings:

Introduction to Molecular Modeling
in Drug Discovery

Learn how to apply molecular modeling in small-molecule drug discovery and design.

Course Description
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Introduction to Computational
Antibody Engineering

Learn molecular modeling solutions for antibody discovery and design.

Course Description
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High-Throughput Virtual Screening
for Hit Finding and Evaluation

Learn best practices for using virtual screening of large ligand libraries.

Course Description
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Introduction to Molecular Modeling Concepts
for Polymers

Learn how to apply molecular modeling in polymer discovery and design.

Course Description
Register

Schrödinger online courses include video instruction, tutorials, reading materials, and guided self-assessment tools, as well as lists of additional resources. Courses do not require any books or journal access. Access to relevant Schrödinger software is included during the time of the course.

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Schrödinger Scholarship Program

Schrödinger offers a limited number of scholarships for each class session based on student need and scholarship availability. Email the education team to learn more.

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Badge

Upon verified completion of each course, students will receive a certificate of completion and a Schrödinger: Molecular Modeling Badge.

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.

 

Introduction to Molecular Modeling in Drug Discovery

REGISTER

Introduction to Computational Antibody Engineering

REGISTER

High-Throughput Virtual Screening for Hit Finding and Evaluation

REGISTER

Introduction to Molecular Modeling Concepts for Polymers

REGISTER

  • "I definitely learned more about molecular modeling and feel like I leveled up as a medicinal chemist with the ability to use Maestro in my back pocket."

    - Tom Luong, PTC Therapeutics, Scientist II  

  • "The course was elegantly organized and profoundly impacted my understanding of CADD and the techniques surrounding rational ligand-receptor design."

    - Marshall Lougee, University of Pennsylvania, Graduate Student

  • "If you are interested in molecular modeling in drug discovery and you want to learn more about the latest trends in the computational methods, this Schrödinger course is a great start."

    - Aslihan Shenol Iliyaz, Novo Nordisk Foundation Center for Basic Metabolic Research, Research Assistant

     

  • "Promptly graded assignments with helpful feedback guided the user through interactive and meaningful modules, which led to an amazing "coming-of-age"-like experience in the design of one's own ligand for VEGFR2."

    - Marshall Lougee, University of Pennsylvania, Graduate Student

  • "I found the course really helpful and am feeling a lot more comfortable with using Maestro and finally understanding the orders of operation and selection, which is awesome."

    - Gesine Veits, C4 Therapeutics, Senior Research Scientist 1

  • "I feel that I can start using Maestro for my research and feel relatively confident in the data I will be able to generate with it."

    - Gesine Veits, C4 Therapeutics, Senior Research Scientist 1

  • "A great opportunity to gain hands-on experience in this interesting field, to gain insights into this area, and to see things from many different angles!"

    - Sara Puglioli, University of Florence, Graduate Student

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