Webinar
Life Science
- Publication
- Apr 23, 2024
FEP augmentation as a means to solve data paucity problems for machine learning in chemical biology
Burger PB, et al. J. Chem. Inf. Model., 2024, 64(9), 3812–3825- 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
- Aug 15, 2024
Coarse-grained simulation of mRNA-loaded lipid nanoparticle self-assembly
Grzetic, et al. Molecular Pharmaceutics, 2024, 21, 9, 4747–4753- Publication
- Jun 12, 2023
Atomistic simulations of the Escherichia coli ribosome provide selection criteria for translationally active substrates
Zoe L. Watson, et al. Nature Chemistry, 2023- Publication
- May 13, 2022
Structure-based assessment and druggability classification of protein-protein interaction sites
Lara Alzyoud, et al. Scientific Reports, 2023, 12, 7975- Publication
- Dec 29, 2022
A novel method for in silico assessment of Methionine oxidation risk in monoclonal antibodies: Improvement over the 2-shell model
Davide Tavella, et al. PLoS ONE, 2022, 17(12)- Publication
- Dec 5, 2022
Pathfinder-Driven Chemical Space Exploration and Multiparameter Optimization in Tandem with Glide/IFD and QSAR-Based Active Learning Approach to Prioritize Design Ideas for FEP+ Calculations of SARS-CoV-2 PLpro Inhibitors
Gumede NJ., Molecules, 2022, 27, 8569- Publication
- Jan 30, 2022
Accurate Prediction of Protein Thermodynamic Stability Changes upon Residue Mutation using Free Energy Perturbation
Guido Scarabelli, et al. JMB, 2022, 434(2)- Publication
- Nov 2, 2021
The transcriptional corepressor CtBP2 serves as a metabolite sensor orchestrating hepatic glucose and lipid homeostasis
Sekiya, et al. Nat Commun, 2021, 12(1), 6315- Publication
- Jun 25, 2021
Potency- and selectivity-enhancing mutations of conotoxins for nicotinic acetylcholine receptors can be predicted using accurate free-energy calculations
Dana Katz, et al. Marine Drugs, 2021, 19(7), 367- Publication
- Jan 30, 2020
GemSpot: A Pipeline for Robust Modeling of Ligands into CryoEM Maps
Robertson, et al. bioRxiv, 2019, 750778, PreprintCase Studies
Case Study
Life Science
Materials Science
Case Study
Life Science
Case Study
Life Science
Documentation
Documentation
Life Science
- Documentation
Learning Path: Computational Structure Prediction
A structured overview of tools and workflows for predicting biomacromolecular structures in whole or in part.
- Documentation
Learning Path: Virtual Screening
A structured overview of how to construct a virtual screening pipeline.
Events
Event
Materials Science
- Apr 23, 2025
Schrödinger User Group Meeting Materials Science Japan 2025 Part I
Automobile related materials & functional materials をテーマに､弊社サイエンティストや各製品の開発責任者から､最新機能､応用事例､今後の展望などをご紹介します。
Webinar
Life Science
- Apr 23, 2025
Computational strategies for discovering and optimizing RNA- and DNA-targeting molecules
In this webinar, we will showcase how Schrödinger’s advanced computational solutions are enabling accurate and efficient targeting of RNA and DNA systems by small molecules.
Event
Life Science
- Apr 23rd-24th, 2025
Festival of Biologics 2025
Schrödinger is excited to be participating in the Festival of Biologics 2025 conference taking place on April 23rd – 24th in San Diego, California.
Product Videos
Video
Life Science
Getting Going with Maestro BioLuminate
A free video series introducing the basics of using Maestro Bioluminate.
Video
Life Science
Video
Life Science
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
Webinar
Life Science
- May 14, 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17回
Enabling cryoEM structures for drug discovery with the Schrödinger Suite
Webinar
Life Science
- Apr 23, 2025
Computational strategies for discovering and optimizing RNA- and DNA-targeting molecules
In this webinar, we will showcase how Schrödinger’s advanced computational solutions are enabling accurate and efficient targeting of RNA and DNA systems by small molecules.
Webinar
Life Science
- Apr 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16回
APR 16, 2025 | Accelerating protein degrader discovery: Computational strategies for degrader design and optimization
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