Industry-leading ligand-receptor docking solution

Expand the impact of structural biology on drug design

Amplify your ligand discovery with an accurate, versatile docking program

Glide is the leading industrial solution for reliable ligand-receptor docking. It augments and accelerates structure-based drug design across a range of applications, including virtual screening, binding mode prediction and interactive 3D molecular design.

Advantages of Glide for ligand-receptor docking

Easy-to-use graphical interface
Easy-to-use graphical interface

Easily create and validate docking models with a simple, guided graphical user interface

Explore binding sites to guide ligand design
High docking accuracy across diverse receptor types

Achieve high enrichment across a diverse range of receptor types, including small molecules, peptides, and macrocycles

Customizable constraints
Customizable constraints

Benefit from a broad range of constraints to easily bias docking calculations to meet experimentally-observed requirements and desired chemical space

Save compute time and effort using prepared commercial libraries for Glide

Schrödinger has partnered with leading providers to help you access commercial databases of fragments, lead-like, near drug-like, and drug-like compounds ranging from millions to billions of compounds encompassing a vast chemical space.

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Powerful use cases across drug discovery

Interactive 3D design

Interactively design and dock in 3D using goal-directed ligand design workflows in Ligand Designer and LiveDesign

Virtual screening

Perform virtual screens with automated workflows that are customizable to fit project needs

Ultra-large scale virtual screening

Accelerate screening of ultra-large libraries (>1B compounds) using Glide accelerated by Active Learning

Covalent docking & scoring

Dock a set of ligands that bind covalently to the receptor, using predefined or custom reaction chemistry — CovDock

FeaturedDramatically improving hit rates with a modern virtual screening workflow

Dramatically improving hit rates with a modern virtual screening workflow

See how Active Learning Glide and ABFEP+ (Absolute Binding FEP+) are revolutionizing hit discovery in a modern virtual screening workflow to identify better quality hits, faster.

Read the white paper

Related Products

Learn more about the related computational technologies available to progress your research projects.

Active Learning Applications

Accelerate discovery with machine learning


Your complete digital molecular design lab

Prepared Commercial Libraries

Fully prepared databases of purchasable compounds


High-performance free energy calculations for drug discovery


Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.

Life Science
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
Materials Science
In Vitro and In Silico Studies of Antimicrobial, and Antioxidant Activities of Chemically Characterized Essential Oil of Artemisia flahaultii L. (Asteraceae)
Materials Science
Structural basis of odorant recognition by a human odorant receptor
Life Science
Discovery of a Potent and Selective Tyrosine Kinase 2 Inhibitor: TAK-279
Life Science
Geometric Deep Learning for Structure-Based Ligand Design
Life Science
Scaffold Hopping and Optimization of Small Molecule Soluble Adenyl Cyclase Inhibitors Led by Free Energy Perturbation
Materials Science
Surfactant-Impregnated MOF-Coated Fabric for Antimicrobial Applications
Materials Science
Virtual Screening of Soybean Protein Isolate-Binding Phytochemicals and Interaction Characterization
Materials Science
Effect of artificial sweetener saccharin on lysozyme aggregation: A combined spectroscopic and in silico approach
Life Science
Plasticity in ligand recognition at somatostatin receptors

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.


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.