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Advancing a Pipeline of Drug Discovery Programs Using Diverse Machine Learning Strategies Coupled with Physics-Based Simulations Webinar Life Science
  • Apr 27, 2023
Advancing a Pipeline of Drug Discovery Programs Using Diverse Machine Learning Strategies Coupled with Physics-Based Simulations

In this webinar, we describe how we are integrating machine learning strategies with physics-based modeling technologies within Schrödinger’s Therapeutics Group.

Expect Success: Modern Virtual Screening Technologies that Actually Deliver High-Quality, Developable Hits Webinar Life Science
  • Mar 14, 2023
Expect Success: Modern Virtual Screening Technologies that Actually Deliver High-Quality, Developable Hits

In this webinar, we describe several recent case studies from the Schrödinger Therapeutics Group where this modern large-scale virtual screening workflow resulted in double-digit hit rates across a diverse range of targets.

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 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。

Expand the impact of structural biology on drug design Webinar Life Science
  • Nov 24, 2022
Chinese: 2022薛定谔秋季中文生命科学网络讲座 | 用最新的基于物理计算方法为基于结构的药物研发开辟新天地

近年来,随着新的高预测性、基于物理理论方法的发展与其加速发现新型临床化合物能力的展现,基于结构的药物发现 (SBDD) 策略的价值得到提升。

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 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。

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 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。

Antibody Humanization Guided by Computational Modeling Webinar Life Science
Accelerating Antibody Drug Discovery Through Computational Modeling Webinar Life Science
  • Oct 20, 2022
Accelerating Antibody Drug Discovery Through Computational Modeling

In this webinar, we provide an overview of computational modeling strategies for antibody design.

Case-study_MALT1-inhibitor 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。

Accelerating Digital Drug Design With Automated Informatics Workflow Webinar Life Science
  • Sep 8, 2022
Accelerating Digital Drug Design With Automated Informatics Workflow

In this webinar, research leaders from Maze Therapeutics and Indiana Biosciences Research Institute (IBRI) will discuss their best practices in managing and deriving insights from complex data.

Bringing drugs to clinics faster with NVIDIA computing Webinar Life Science
  • Jun 30, 2022
生物制药设计 | BioLuminate

本培训我们将演示BioLuminate生物制药设计工作流程,其中包括

Molecular Modelling to Support Drug Formulation for Small Molecule and Biologic Drugs Webinar Life Science
  • Jun 28, 2022
Molecular Modelling to Support Drug Formulation for Small Molecule and Biologic Drugs

Complementary use of machine learning and physics-based modeling contribute to the drug development and formulation process.

Events

Accessible and automated computational catalyst discovery and reactivity optimization Webinar Materials Science
  • Jun 2, 2026
Accessible and automated computational catalyst discovery and reactivity optimization

In this webinar, we will demonstrate how an end-user physics–AI platform removes barriers to entry, making this process accessible to both experts and non-experts while enabling seamless scalability.

Computational and Medicinal Chemistry by the Lake 2026 Event Life Science
  • Jun 2nd-4th, 2026
Computational and Medicinal Chemistry by the Lake 2026

Schrödinger is excited to be participating in the Computational and Medicinal Chemistry by the Lake 2026 conference taking place on June 2nd – 4th in Kuopio, Finland.

A predictive modeling platform for studying degradation, reactivity, and catalysis of small molecule active pharmaceutical ingredients Webinar Materials Science
  • Jun 3, 2026
A predictive modeling platform for studying degradation, reactivity, and catalysis of small molecule active pharmaceutical ingredients

In this webinar, we present recent advances in automated, end-to-end solutions for studying degradation, reactivity, and catalysis of active pharmaceutical ingredients (APIs).

Webinars

Biologics modeling for wet lab scientists: Detecting and deprioritizing dead ends before they reach the bench Webinar Life Science
  • Jun 3, 2026
Biologics modeling for wet lab scientists: Detecting and deprioritizing dead ends before they reach the bench

Join us to learn how to detect and deprioritize high-risk candidates, effectively discarding developability dead-ends before they ever reach the bench.

Generative Glide: AI-driven ultra-large virtual screening for real-world drug discovery Webinar Life Science
  • Jun 4th-11th, 2026
Generative Glide: AI-driven ultra-large virtual screening for real-world drug discovery

Join us as we go beyond slides and run a demo of the workflow, showing how Generative Glide performs in practice from setup through results.

Expanding RetroSynth: Dynamic AI-driven synthesis planning proven to move your designs from bench to synthesis Webinar Life Science
  • Jun 10th-16th, 2026
Expanding RetroSynth: Dynamic AI-driven synthesis planning proven to move your designs from bench to synthesis

In this webinar, we revisit RetroSynth, Schrödinger’s AI-powered solution for intelligent synthesis planning.

Documentation

  • Documentation
Learning Path: Oligonucleotide Modeling

A structured overview of tools and workflows for nucleic acids in drug discovery.

  • Documentation
WaterMap

Efficiently converged MD simulations are run with explicit water molecules, and resultant trajectories are analyzed to cluster hydration sites.

  • Documentation
SiteMap

Identify binding sites, including allosteric binding sites and protein-protein interfaces, and evaluate their druggability.

Tutorials

  • Tutorial
Structure-Based Virtual Screening using Glide

Prepare receptor grids for docking, dock molecules and examine the docked poses.

  • Tutorial
Ligand Binding Pose Generation for FEP+

Generate starting poses for FEP simulations for a series of BACE1 inhibitors using core constrained docking.

  • Tutorial
Homology Modeling of Protein-Ligand Binding Sites with IFD-MD

Create a homology model of TYK2 from JAK3 and including a bound ligand. Compare this model with the crystal structure for TYK2 bound to 4GIH.

Training Videos

Getting Going with Maestro BioLuminate Video Life Science
Getting Going with Maestro BioLuminate

A free video series introducing the basics of using Maestro Bioluminate.

Getting Going with Maestro Video Life Science
Getting Going with Maestro

A free video series introducing the basics of using Maestro.

  • 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

Case Studies

White Papers

FEP+ Pose Builder — maximizing utility and productivity in FEP simulations White Paper Life Science
  • Jan 29, 2026
FEP+ Pose Builder — maximizing utility and productivity in FEP simulations

FEP+ Pose Builder is a methodological advancement introduced as an integrated feature to drastically enhance accessibility, user-friendliness, and productivity within the FEP+ pipeline.

20 Years of Glide: A Legacy of Docking Innovation and the Next Frontier with Glide WS 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.

QuickShape screening in the age of ultra-large libraries  White Paper Life Science

Quick Reference Sheets

  • Quick Reference Sheet
Force Field Builder

A one-page guide to calculate missing torsion parameters for ligands using the Force Field Builder panel.

  • Quick Reference Sheet
Ligand Interaction Diagram

A one-page guide to using the Ligand Interaction Diagram for examining ligand-receptor interactions.

  • Quick Reference Sheet
GlideMap

A one-page guide to using the GlideMap GUI for ligand placement guided by experimental density.

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Latest insights from Extrapolations blog

With FEP+, “The Experiment is the Limit.”
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 (FEP)
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.

Can AlphaFold Models be Used for Structure-Based Drug Design? A Perspective Two Years In 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.