Accelerating molecular discovery using an in silico design platform
Schrödinger will host a scientific workshop in Barcelona on July 8 to showcase how its molecular design platform leverages physics-based simulation and machine learning to accelerate drug discovery.
Schrödinger, a global leader in molecular simulation and computational drug discovery, will hold an extended edition of its Lunch and Learn series on Tuesday, July 8, at the Barcelona Science Park. The event will showcase the capabilities of its in silico molecular design platform and demonstrate how advanced physics-based methods and machine learning are being applied to accelerate the development of both biologics and small molecules.
The workshop is aimed at professionals across the biotechnology and pharmaceutical sectors interested in integrating computational tools into their discovery workflows. The programme will feature two technical sessions led by senior scientists from Schrödinger, covering a range of practical applications and recent technological advances.
From 09:30 to 11:30, Dan Cannon, Principal Scientist in Application Sciences at Schrödinger, will lead the session “Accelerating Biologics Design through Computational Modelling and Collaborative Enterprise Informatics.” The presentation will explore how tools such as BioLuminate, FEP+ and LiveDesign can support large-scale mutagenesis for affinity optimisation, identify and address developability challenges, and assist in variant selection based on cross-reactivity. Real-world case studies will illustrate how these approaches can be applied in research settings.
From 12:00 to 14:00, David Rinaldo, Senior Principal Scientist at Schrödinger, will present “Accelerating Small-Molecule Drug Discovery Combining Physics-Based Methods, Machine Learning Techniques and Digital Chemistry.” This session will examine how recent advances in GPU computing, cloud infrastructure and artificial intelligence have transformed small-molecule discovery. Attendees will learn how Schrödinger integrates these technologies to efficiently navigate chemical space and identify potential drug candidates.
The event will conclude with a networking lunch from 14:00 to 15:00, offering attendees the opportunity to discuss the sessions with the speakers and connect with peers from the scientific community.
Participation in the workshop is free of charge, but pre-registration is required as spaces are limited. No prior experience with Schrödinger software is necessary.
Registration link:
https://www.eventbrite.com/e/accelerating-molecular-discovery-using-an-in-silico-design-platform-tickets-1383790266939?aff=oddtdtcreator