Virtual screening with integrated physics & machine learning
Acquire essential skills in next-generation virtual screening, integrating physics and machine learning for smarter hit identification
Acquire essential skills in next-generation virtual screening, integrating physics and machine learning for smarter hit identification
With the growing demand for computationally efficient methods to explore chemical space, machine learning-enabled virtual screening has become a critical tool in modern drug discovery. These techniques empower chemists to rapidly identify and prioritize high-potential hits and chemotypes for experimental validation and downstream development.
Schrödinger’s online course, Virtual screening with integrated physics and machine learning, offers expert instruction and best practices for executing these workflows from start to finish.
Ideal for scientists looking to enhance their practical skills and deepen their understanding of both ligand-based and structure-based approaches, this course also provides a certification and digital badge to showcase your expertise in this cutting-edge field.
This course comes with temporary access to a web-based version of Schrödinger software, complete with licenses and compute resources
Get hands-on experience with pilot virtual screens, including ligand and receptor grid preparation, and learn critical methods for validating the results of docking simulations
Learn to effectively evaluate and prioritize hits after screening, including inspection, clustering, and scoring
Explore how machine learning and Free Energy Perturbation (FEP+) methods can be integrated to scale virtual screening workflows
Apply your knowledge through a comprehensive case study, following the end-to-end process of a virtual screen from initial setup to the evaluation of potential drug candidates
Course overview and modern virtual screening methods
Expectations surrounding academic integrity
Executing pilot virtual screens and validating Glide docking results
Post-screening hit evaluation and prioritization
Scaling workflows using machine learning and FEP+
Final case study
Virtual screen analysis
Absolute binding FEP+ evaluation of chosen hits
We proudly support the next generation of scientists and are committed to providing opportunities to those with limited resources. Learn about your funding options for our online certification courses as a student, post-doc, or industry scientist and enroll today!
When you complete a course with us in molecular modeling and are ready to share what you learned with your colleagues and employers, you can share your certificate and badge on your LinkedIn profile.
Pricing varies by each course and by the participant type. For students wishing to take this, we offer a student price of $240, and $645 for non-students.
Once the course session begins, all lectures are asynchronous and you can view the self-paced videos, tutorials, and assignments at your convenience. When registering for the course you will select the start and end date. Within those dates, you will have asynchronous access to the course material and virtual workstation to work on the course when it best suits your schedule.
Interested participants can pay for the course by completing their registration and using the credit card portal for an instant sign up. Please note that a credit card is required as we do not accept debit cards. Additionally, we can provide a purchase order upon request, please email online-learning@schrodinger.com if you are interested in this option. If you have any questions regarding how to pay for the course, please visit our funding options page.
Schrödinger is committed to supporting students with limited resources. Schrödinger’s mission is to improve human health and quality of life by transforming the way therapeutics and materials are discovered. Schrödinger proudly supports the next generation of scientists. We have created a scholarship program that is open to full-time students or post-docs to students who can demonstrate financial need, and have a statement of support from the academic advisor. Please complete the application form if you qualify for our scholarship program!
While access to the software will end when the course closes, some of the material within the course (slides, papers, and tutorials) are available for download so that you can refer back to it after the course. Other materials, such as videos, quizzes, and access to the software, will only be available for the duration of the course.
For the duration of the course, you will have access to a web-based version of Maestro, Bioluminate, Materials Science Maestro and/or LiveDesign (depending on the course). You do not have to separately purchase access to any software. While access to the software will end when the course closes, some of the material within the course (slides, papers, and tutorials) are available for download so that you can refer back to it after the course. Other materials, such as videos, quizzes, and access to the software, will only be available for the duration of the course. Please note that Schrödinger software is only to be used for course-related purposes.
The Target enablement, preparation, & validation & Designing quality ligand libraries online courses are recommended to be taken before, during, or after the virtual screening with integrated physics and machine learning online course. These offerings are all closely related and are intended for similar audiences. You will notice overlap of some foundational theory videos as these each contain key concepts relevant to each facet of the virtual screening pipeline. However, each course is uniquely focused and is able to elaborate on specific guidance related to the course topic.
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