- Documentation
Learning Path: Virtual Screening
A structured overview of how to construct a virtual screening pipeline.
- Tutorial
Conformational Analysis for Small Molecules Using MacroModel and ConfGen
Investigate torsional profiles for related small molecules and how conformation affects intra- and intermolecular interactions.
- Publication
- Oct 2, 2017
Benchmarking Commercial Conformer Ensemble Generators
Friedrich, et al. J. Chem. Inf. Model., 2017, Article ASAP, DOI: 10.1021/acs.jcim.7b00505- Publication
- Nov 19, 2014
Exploring Conformational Search Protocols for Ligand-based Virtual Screening and 3-D QSAR Modeling
Cappel, et al. J. Comput. Aided Mol. Des., 2015, 29(2), 165-182- Publication
- Dec 12, 2013
Optimization, Pharmacophore Modeling and 3D-QSAR Studies of Sipholanes as Breast Cancer Migration and Proliferation Inhibitors
Foudah, et al. Eur. J. Med. Chem., 2014, 73, 310-324- Publication
- Oct 1, 2013
Bioguided discovery and pharmacophore modeling of the mycotoxic indole diterpene alkaloids penitrems as breast cancer proliferation, migration, and invasion inhibitors
Sallam, et al. Med. Chem. Commun., 2013, 4, 1360-1369- Publication
- Jun 26, 2013
Improved docking of polypeptides with Glide
Tubert-Brohman, et al. J. Chem. Inf. Model., 2013, 53(7), 1689-1699- Publication
- Jun 19, 2013
Boosting virtual screening enrichments with data fusion: Coalescing hits from two-dimensional fingerprints, shape, and docking
Sastry, et al. J. Chem. Inf. Model., 2013, 53, 1531-1542- Publication
- Apr 27, 2010
Drug-like Bioactive Structures and Conformational Coverage with the LigPrep/ConfGen Suite: Comparison to Programs MOE and Catalyst
Chen, et al. J.Chem. Inf. Model., 2010, 50, 822-839- Publication
- Apr 7, 2010
ConfGen: A Conformational Search Method for Efficient Generation of Bioactive Conformers
Watts, et al. J.Chem. Inf. Model., 2010, 50, 534-546Case Studies
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.
Events
- Oct 29, 2025
Advancing battery materials innovation using charge-aware machine learning force fields
In this webinar, we will demonstrate how Schrödinger is utilizing an integrated computational approach combining physics-based molecular modeling with machine learning force fields (MLFFs) to address key challenges in battery materials design.
- Oct 31, 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20回
In silico cryptic binding site detection and prioritization
- Nov 3rd-5th, 2025
BIO Europe 2025
Schrödinger is excited to be participating in the BIO Europe 2025 conference taking place on November 3rd – 5th in Vienna, Austria.
Training Videos
Getting Going with Maestro BioLuminate
A free video series introducing the basics of using Maestro Bioluminate.
- 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
- Oct 13, 2025
Accelerated in silico discovery of SGR-1505: A potent MALT1 allosteric inhibitor for the treatment of mature B-cell malignancies
Nie Z, et al. J. Med. Chem., 2025- Publication
- Oct 12, 2025
Discovery of highly potent noncovalent inhibitors of SARS-CoV-2 main protease through computer-aided drug design
Okabe A, et al. J Med Chem, 2025- Publication
- Sep 17, 2025
Accurate hydration free energy calculations for diverse organic molecules with a machine learning force field
Xie, et al. ChemRxiv, 2025, 1, PreprintQuick Reference Sheets
- Quick Reference Sheet
GlideMap
A one-page guide to using the GlideMap GUI for ligand placement guided by experimental density.
- 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.
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
- Oct 31, 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20回
In silico cryptic binding site detection and prioritization
- Oct 9, 2025
6th EFMC² Tandem Talks
Schrödinger is excited to be participating in the 6th EFMC² Tandem Talks virtual event taking place on October 9th.
- Oct 8, 2025
Structure-based discovery of highly potent dihydroorotate dehydrogenase inhibitors for once-monthly malaria chemoprevention
In this webinar, Zhe Nie, medicinal chemist and project leader at Schrödinger, and Margaret Phillips, professor at UT Southwestern Medical School, Dallas, share in conversation how their teams worked collaboratively towards the discovery of novel DHODH inhibitors.
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.