Webinar
Life Science
- 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.
Webinar
Life Science
- Nov 8, 2023
In Silico Driven Drug Discovery of a Zwitterionic Integrin αvβ6 Development Candidate for Fibrosis
In this webinar, discover how in silico techniques combined with traditional medicinal chemistry approaches are applied in a structure-based drug discovery program.
Webinar
Life Science
- Jul 20, 2023
Japanese: Schrödinger デジタル創薬セミナー Into the Clinic ~計算化学がもたらす創薬プロセスの変貌~
Mucosa-associated Lymphoid Tissue Lymphoma Translocation Protein 1 (MALT1) is a genetically validated target for the treatment of diseases associated with lymphocyte regulation.
Case Study
Life Science
Case Study
Life Science
Webinar
Life Science
- May 9, 2023
Into the Clinic: Developing potent and selective kinase inhibitors using at-scale FEP and protein FEP: a Wee1 case study
In this webinar, we discuss the discovery of novel Wee1 kinase inhibitors using a strategy that couples ligand free energy calculations with protein free energy calculations to simultaneously find promising chemical matter and de-risk for off-target liabilities.
Webinar
Life Science
- Dec 7, 2022
Chinese: 2022薛定谔秋季中文生命科学网络讲座 | 基于物理理论的计算模拟 – 如何准确预测小分子晶体的结构和溶解度
对固态科学家来说，药物晶体形式的改变是药物研发后期甚至上市后是非常严重的，打击性极强的问题。
Webinar
Life Science
- Nov 10, 2022
Chinese: 2022薛定谔秋季中文生命科学网络讲座 | 薛定谔计算模拟技术助力新型 D-氨基酸氧化酶抑制剂的发现
D-Serine是N-甲基d-天冬氨酸 (NMDA) 受体的共激动剂，而NMDA受体是一种关键的兴奋性神经递质受体。
Webinar
Life Science
- Oct 27, 2022
Chinese: 2022薛定谔秋季中文生命科学网络讲座 | AutoDesigner，一种通过快速探索大型化学空间来优化先导化合物的从头设计算法
这算法值需要单个有活性数据和假想结合模式的小分子，非常适合早期数据贫乏的SBDD项目。
Webinar
Life Science
- Oct 13, 2022
Chinese: 应用薛定谔计算平台加速SGR-1505，治疗复发或难治性B细胞淋巴瘤的MALT1异生抑制剂
MALT1 被认为是几种亚型非霍奇金 B 细胞淋巴瘤和慢性淋巴细胞白血病 (CLL) 的潜在治疗靶点。
Webinar
Life Science
- May 12, 2022
AutoDesigner, a De Novo Design Algorithm for Rapidly Exploring Large Chemical Space for Lead Optimization
The lead optimization stage of a drug discovery program generally involves the design, synthesis, and assaying of hundreds to thousands of compounds.
Case Study
Life Science
Case Studies
Case Study
Life Science
Materials Science
Case Study
Life Science
Case Study
Life Science
Documentation
- Documentation
Active Learning Applications
Active Learning Glide documentation including online help and user manual.
- Documentation
Formula Column Examples
Explore formula column examples that allow you to calculate, analyze, and transform data using custom expressions and built-in functions.
- Documentation
Freeform Column Examples
Explore Freeform column examples that empower flexible workflows, and real-time collaboration.
Events
Event
Life Science
- Jun 30, 2025
Educator’s Month Webinars 2025
Join us for a series of live webinar presentations throughout June 2025 from leading educators at top academic institutions, as well as talks by Schrödinger scientists.
Event
Life Science
- Jul 2nd-4th, 2025
RICT 2025
Schrödinger is excited to be participating in the RICT – 59th International Conference on Medicinal Chemistry conference taking place on July 2nd – 4th in Orléans, France.
Event
Materials Science
- Jul 8, 2025
Digital and AI-Driven Materials Innovation
We hope you can join us at The Hong Kong University of Science and Technology (HKUST) in Hong Kong, on July 8th for the Digital and AI-Driven Materials Innovation Symposium.
Training Videos
Video
Life Science
Getting Going with Maestro BioLuminate
A free video series introducing the basics of using Maestro Bioluminate.
Video
Life Science
- Video
Introducing Ligand Designer
An overview of the LigandDesigner workflow, Editing in 2D and 3D, using display options and overlays, and accessing the Admin Panel.
Publications
- Publication
- May 9, 2025
Efficient long-range machine learning force fields for liquid and materials properties
Weber JL, et al. arXiv, 2025, Preprint- Publication
- Apr 18, 2025
Enabling in-silico Hit Discovery Workflows Targeting RNA with Small Molecules
Chopra, et al. Theoretical and Computational Chemistry, 2025, 1, Preprint- Publication
- Apr 17, 2025
Active Learning FEP: Impact on Performance of AL Protocol and Chemical Diversity
Lonsdale, et al. Journal of Chemical Theory and Computation, 2025Quick Reference Sheets
- Quick Reference Sheet
Synthesis Queue LiveReport
Use Freeform columns to track the status of compounds in a synthesis queue.
- Quick Reference Sheet
Modeling Queue LiveReport
Learn how to use Freeform columns and an Auto-Update Search to create compound progression workflows.
- Quick Reference Sheet
Group Meeting LiveReport
Develop a workflow to allow individuals to triage ideas for group discussion and decision making.
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
Webinar
Life Science
- Jul 16, 2025
Schrödinger デジタル創薬セミナー: Into the Clinic ~計算化学がもたらす創薬プロセスの変貌~ 第18回
Enabling cryoEM structures for drug discovery with the Schrödinger Suite
Webinar
Life Science
- Jul 30, 2025
In silico cryptic binding site detection and prioritization
In this webinar, we will introduce a novel computational workflow that integrates mixed solvent molecular dynamics (MxMD) with SiteMap to reveal and identify cryptic binding sites.
Webinar
Life Science
- Jun 25, 2025
How to find a druggable target: A computational perspective
Join us in this beginner-friendly webinar that will introduce you to strategies and best-in-class tools for identifying druggable, technology-enabled targets.
White Papers
White Paper
Life Science
- 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.
White Paper
Life Science
White Paper
Life Science
Latest insights from Extrapolations blog
With FEP+, “The Experiment is the Limit.”
Over the past century, small molecule drugs have represented the dominant modality in drug research, enabling medical breakthroughs that have saved countless lives.
Tackling Drug Solubility: AbbVie and Schrödinger Collaborate to Advance Accurate Prediction Methods
The complexity and size of drug candidates has grown in recent years as scientists pursue novel targets once considered undruggable.
Blog
Can AlphaFold Models be Used for Structure-Based Drug Design? A Perspective Two Years In
We recently sat down with Edward Miller, Senior Director of Protein Structure Modeling at Schrödinger, to discuss his experience using AlphaFold models for SBDD.
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.
Other Resources