Schrodinger, Inc. · NASDAQ:SDGR
Schrodinger — Investor Presentation (May 2026)
9 slides from Schrodinger's investor presentation, May 2026
Slide 1: My Experience of Teaching with Schrödinger
My Experience of Teaching with Schrödinger Dr Katie Simmons K.J.Simmons@leeds.ac.uk https://astbury.leeds.ac.uk/people/dr-katie-simmons/
Slide 2: About Me
About Me • Lecturer in Structural Pharmacology at University of Leeds • 2005-2008 PhD in Medicinal Chemistry- Design, Synthesis and Biological Evaluation of Mur Enzyme Inhibitors- early days of in silico design work (SPROUT) • Have been using Schrödinger software for design work since ~2007 • >20 pu
Slide 3: About Me
About Me • My research group focuses on the identification of bioactive molecules for early- stage lead discovery on a number of challenging targets involved in disease areas such as cardiometabolic disorders, epilepsy and bunyaviruses. • We use a range of computational methods to discover novel lig
Slide 4: Teaching with Schrödinger
Teaching with Schrödinger • Using Schrödinger software for teaching for >10 years • Using web-based Teaching with Schrödinger software for 4 years • Use for teaching 3rd year BSc (final year projects) and MSc students (MSc Drug Discovery & Development) • Varied student backgrounds- Chemistry, Pharma
Slide 5: Adapting to using TwS
Adapting to using TwS • Had previously used Schrödinger software mounted on individual PCs • Problematic and limited student numbers- needed updating yearly • Hard to predict student numbers when renewing research license • Much easier to use the online web platform- can be used anywhere across camp
Slide 6: Learning Outcomes
Learning Outcomes • Workshop 1- learn how to use Maestro GUI, load and prepare a protein. Examine protein-ligand interactions and understand how mutations affect ligand binding Short formative assessment to check understanding, image creation etc. • Workshop 2- learn how to prepare ligand structures
Slide 7: Learning Outcomes
Learning Outcomes • Students able to work at their own pace-great for groups with mixed backgrounds • Ability to tailor learning outcomes to different groups of students • Students can start work before session and use as a ‘drop-in’ if they like • This can mitigate the only problem we have seen- so
Slide 8: Student Engagement
Student Engagement • Improved student engagement as timetabled sessions are not always suitable for all students • Co-taught so hard to fit to all student timetables • Ability to use off campus great for students with disabilities or caring responsibilities • Students find software intuitive to use
Slide 9: Student Testimonial
Student Testimonial • Final year MChem Medicinal Chemistry student: I found Maestro very easy to use as an all-in-one workflow, making docking and result analysis much more straightforward. Compared to other platforms I have used in my Undergraduate degree, it felt more detailed, robust, and reliabl