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Accelerating pharmaceutical formulations using machine learning approaches Webinar Life Science Materials Science
  • 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.

Accelerating protein degrader discovery: Computational strategies for degrader design and optimization Webinar Life Science
  • 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.

Expand the impact of structural biology on drug design Webinar Life Science
  • 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.

Next-generation protein engineering with physics: Predicting affinity, stability, selectivity, and pH-dependent binding Webinar Life Science
  • Feb 5, 2025
Next-generation protein engineering with physics: Predicting affinity, stability, selectivity, and pH-dependent binding

In this webinar, we will introduce Schrödinger’s FEP+ Residue Scan, a next-generation tool that achieves approximately 15x speedup compared to traditional Protein FEP methods, without significant loss of accuracy.

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15回 Webinar Life Science
  • Jan 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15回

Water matters: Enhancing early drug discovery with insights from water energetics

アーカイブ配信: OPLS5及び解離速度定数の予測技術のご紹介 Webinar Life Science
  • Dec 18, 2024
アーカイブ配信: OPLS5及び解離速度定数の予測技術のご紹介

DEC 18, 2024 | 本ウェビナーではOPLS5とunbinding kinetics workflowに焦点を当ててご紹介します。

Water matters: Enhancing early drug discovery with insights from water energetics Webinar Life Science
  • Nov 20, 2024
Water matters: Enhancing early drug discovery with insights from water energetics

In this webinar, we discuss the impact of two technologies that leverage explicit water energetics in the binding pocket to enhance drug design—WaterMap and Glide WS.

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14回 Webinar Life Science
  • Nov 19, 2024
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14回

Advancements in machine learning enhanced in silico design: Impact on a pipeline of drug discovery programs

アーカイブ配信: E-sol to Predict Unbound Brain-to-Plasma Partition Coefficient, Kp,uu Webinar Life Science
  • Nov 13, 2024
アーカイブ配信: E-sol to Predict Unbound Brain-to-Plasma Partition Coefficient, Kp,uu

NOV 13, 2024 |本ウェビナーでは、E-solの基本から応用事例、FAQまでを解説し、創薬研究におけるE-sol活用の可能性を探ります。

Life Science: FEP+ Webinar Life Science
  • Nov 7, 2024
Innovations in Protein Modeling: How Physics is Impacting Industrial Drug Discovery

In this webinar, hear from The Protein Society and invited speakers from Schrödinger, UCB, and Nested Therapeutics as they discuss three real-life drug discovery case studies that were impacted by the use of physics-based molecular simulations.

Modeling lipid nanoparticles: Self-assembly and apparent pKa calculation Webinar Life Science Materials Science
  • Nov 6, 2024
Modeling lipid nanoparticles: Self-assembly and apparent pKa calculation

In this webinar, we introduce Schrödinger’s coarse-grained simulation technology that can simulate the formation of LNP structures from a random mixture.

Crystal structure prediction workflow for small molecule drug formulation Webinar Life Science Materials Science
  • Oct 23, 2024
Crystal structure prediction workflow for small molecule drug formulation

In this webinar, we describe how early assessment of crystal polymorphism and thermodynamic solubility continues to be elusive for drug discovery and development despite its critical importance, especially for the ever-increasing fraction of poorly soluble drug candidates.

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.