- Tutorial
Ligand Binding Pose Prediction for FEP+ using Core-Constrained Docking
Generate starting poses for FEP simulations for a series of BACE1 inhibitors using core constrained docking
- Tutorial
BACE1 Inhibitor Design Using Free Energy Perturbation
Prepare, run, and analyze a free energy perturbation (FEP) simulation for a series of BACE1 inhibitors using FEP+.
- Tutorial
Obtaining Protein Free Energy Perturbation Thermostability Predictions for Single Point Mutations
Prepare, run and analyze a protein Free Energy Pertubation (FEP) simulation to obtain thermostability predictions for single point mutations in the T4 Lysozyme
- Tutorial
Designing Out Common ADMET Liabilities using Consensus IFD-MD
Use Consensus IFD-MD to generate a model that can be used to improve selecitvity between an on-target protein and hERG
- Jan 25, 2024
Impacting Drug Discovery Programs with Large-Scale De Novo Design
Developing technologies to more comprehensively and effectively enable de novo design of high-quality chemical matter has been a long-standing goal of drug discovery.
- Dec 20, 2023
Chinese Webinar: 薛定谔中文讲座:DLK在计算机辅助药物设计中的案例研究 ,网络讲座录制 计算机驱动用于治疗神经退行性疾病的高效、高选择性和穿透脑血屏障的DLK抑制剂的发现
双亮氨酸拉链激酶(DLK)(又名MAP3K12)是混合系谱激酶(MLK)家族的成员,它包含一个N-末端激酶结构域,后面跟着两个亮氨酸拉链结构域以及一个富含甘氨酸/丝氨酸/脯氨酸的C-末端结构域。它主要在神经元细胞中表达,特别是在神经元的突触末端和轴突中
- Dec 7, 2023
In silico enabled discovery of KAI-11101, a potent, selective, and brain-penetrant DLK inhibitor for the treatment of neurodegenerative diseases
In this webinar, we detail the program led by Schrödinger Therapeutics Group to discover a novel, potent, selective, and brain-penetrant DLK inhibitor (KAI-11101).
- Sep 28, 2023
Structure-Based Drug Discovery Without a Structure: Enabling Accurate FEP+ Predictions for Challenging Targets and ADMET Anti-Targets
In this webinar, we showcase the successful utilization of unique technologies and dedicated workflows to enable accurate FEP+ predictions.
- Sep 14, 2023
Beyond the Lab: Unleashing the Potential of In Silico Modeling in Drug Product Formulation
In this webinar, we explore Schrödinger’s leading molecular modeling and machine learning platform.
- Sep 7, 2023
Design of a Highly Selective, Allosteric, Picomolar TYK2 Inhibitor in Clinical Development
In this webinar, we highlight key moments from the discovery of this potentially best-in-class selective, allosteric, picomolar inhibitor of TYK2.
- Sep 6, 2023
Chinese: Physics-based Design of Bifunctional Degraders, Virtual 基于物理理论设计的双功能降解剂,网络讲座录制
具有两个配体和一个 Linker 的双功能 分子能够结合E3连接酶与靶蛋白,从而促使靶蛋白降解。
Case Studies
Documentation
- Documentation
Online Help and Documentation
An online resource of information and instruction on how to use Schrödinger software including user manuals, panel descriptions, installation guides, reference sheets, tutorials, and more.
Events
- Mar 27, 2025
ACS Spring 2025
Schrödinger is excited to be participating in the ACS Spring 2025 conference taking place on March 23rd – 27th in San Diego California.
- Apr 2nd-4th, 2025
BioIT World 2025
Schrödinger is excited to be participating in the Bio-IT conference taking place on April 2nd – 4th in Boston, Massachusetts.
- Apr 8, 2025
Accelerating pharmaceutical formulations using machine learning approaches
In this webinar, we will demonstrate how Schrödinger’s integrated ML- and physics-based approaches are transforming pharmaceutical formulation design.
Product Videos
Getting Going with Maestro BioLuminate
A free video series introducing the basics of using Maestro Bioluminate.
A Sneak Peek into Renumbering Residues and the Project Table in BioLuminate
The sixth video in the Getting Going with Maestro BioLuminate Video Series: renaming chains and residues, the Project Table.
Publications
- Publication
- Mar 5, 2025
A robust crystal structure prediction method to support small molecule drug development with large scale validation and blind study
Zhou, et al. Nature Communications, 2025, 16, 2210- Publication
- Feb 28, 2025
Exploiting solvent exposed salt-bridge interactions for the discovery of potent inhibitors of SOS1 using free-energy perturbation simulations
Leffler, et al. ACS Medicinal Chemistry Letters, 2025- Publication
- Feb 20, 2025
Predicting Resistance to Small Molecule Kinase Inhibitors
Nagarajan, et al. Journal of Chemical Information and Modeling, 2025, PreprintQuick Reference Sheets
Tutorials
- Tutorial
Structure-Based Virtual Screening using Glide
Prepare receptor grids for docking, dock molecules and examine the docked poses
- Tutorial
Ligand Binding Pose Prediction for FEP+ using Core-Constrained Docking
Generate starting poses for FEP simulations for a series of BACE1 inhibitors using core constrained docking
- Tutorial
Antibody Visualization and Modeling in BioLuminate
Visualize, build, and evaluate antibody models, analyze an antibody for various characteristics, dock an antigen to an antibody.
Webinars
- Apr 8, 2025
Accelerating pharmaceutical formulations using machine learning approaches
In this webinar, we will demonstrate how Schrödinger’s integrated ML- and physics-based approaches are transforming pharmaceutical formulation design.
- Mar 26, 2025
Accelerating protein degrader discovery: Computational strategies for degrader design and optimization
Join us to explore how these workflows can accelerate the design of protein degraders—from predicting ternary complexes to optimizing linker properties—and can empower real-time collaboration through Schrödinger’s LiveDesign platform.
- Feb 11, 2025
Enabling cryoEM structures for drug discovery with the Schrödinger Suite
In drug discovery, the relevance and value of protein structures is directly related to their ability to rationally optimize molecular properties.
White Papers
- Oct 29, 2024
20 Years of Glide: A Legacy of Docking Innovation and the Next Frontier with Glide WS
Glide has long set the gold standard for commercial molecular docking software due to its robust performance in both binding mode prediction and empirical scoring tasks, ease of use, and tight integration with Schrödinger’s Maestro interface and molecular discovery workflows.
Latest insights from Extrapolations blog
Training & Resources
Online certification courses
Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.
Free learning resources
Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.