Training
Biologics Drug Discovery
Software Release
Topic
Type
Product
Optimizing Protein Stability Using New Computational Design Approaches for Biologics
Physical stability is a key determinant of the clinical and commercial success of biological therapeutics, vaccines,...
Protein FEP: Free Energy Perturbation on Protein Residues with the Schrödinger Platform
In recent years, the Schrödinger Free Energy Perturbation tool (FEP+) has been used to accurately predict the relative...
Accurate Prediction of Protein Thermostability using FEP+
Accurately predicting the protein thermostability changes upon single point mutations in silico is a challenge that has...
Panel Discussion - Discovery at Scale for Biologics
FEP+ for Biologics.
Molecular Simulations of Nascent Lipid Droplets
Computational Workflows for Bifunctional Degrader Design
Specific proteins within cells can be targeted for degradation by ubiquitin‐protease systems using bifunctional small...
Design and Optimization of Biologics Driven by Physics-Based Computational Modeling
In this webinar, we will address the important role that computational modeling can play in accelerating the discovery...
Case Study - Hit Finding using the Schrödinger Platform
A Molecular-Level Examination of Amorphous Solid Dispersion Formulation Dissolution
Digitalization of Pharma Research: Holistic Approaches and Their Impact on Drug Discovery Projects
Exploring Enumerated Libraries through Largescale Free Energy Perturbations
Accelerating Formulation and Packaging Development using Molecular Dynamics, Mariam Hussain and Martin Settle at Reckitt Benckiser
Demonstration of Coarse-grained Modeling of Drug Formulations using Schrödinger Materials Science Suite
Schrödinger Materials Science Technology for Novel Formulation Development
Formulation Sciences Discussion Session
Mitigating Off-Target Interactions of Affinity-Matured Antibodies via QSPR
Computational Approaches to Protein Redesign and Optimization
Expanding the Effectiveness and Domain of Applicability of Schrödinger's Physics Based Computational Drug Discovery Platform: Advanced Sampling Algorithms, Improved Force Fields, and Integration with Machine Learning Technologies
Protein FEP+ Demonstration
Japan Life Sciences User Group Meeting 2022, Modern Hit Discovery Solutions
Advances in the design of make-on-demand virtual and DNA-encoded libraries (DEL) allow routine access to billions of...
Japan Life Sciences User Group Meeting 2022, Automated Molecular Machine Learning with DeepAutoQSAR
When the appropriate quality and volume of data is available, modern machine learning approaches can easily process...
Japan Life Sciences User Group Meeting 2022, Computational Modeling Strategies for Accelerating The Discovery of Biologics
Due to the large size and complexity of biologic molecules, their discovery and development present unique sets of...
Leveraging Molecular Modeling Skills on Your Graduate School Applications
Learn about the graduate school application process from current chemistry and biology Ph.D. students. Panelists will...