Small Molecule Drug Discovery
Platform Environment
Maestro Graphical Interface
- Bunsen–Maestro Integration: Launch Maestro and Bunsen from each other’s interfaces and connect active sessions
- Bunsen-Maestro Integration: A new automated modal dialog handler ensures agentic workflows executed in Maestro are never blocked by pop-up dialogs
- High-Scale Maestro to LiveDesign Export Performance: Highly accelerated Maestro to LiveDesign export performance for large datasets; For ~75k compounds time was reduced from about an hour to under 4 minutes
- Polymer-Aware Residue Grouping in the Structure Hierarchy: Non-standard and modified residues within polymer chains are now grouped inside their parent biopolymer chain (Protein, DNA, or RNA) in sequence order
- Pin Favorite Projects and Structures on Welcome Screen: Star recent items on the Welcome Screen to keep favored projects and structures pinned at the top across sessions
- Reset UI to Default Settings: New “Resetting Preferences” section in Preferences → General with a “Reset UI to Default Settings” action to restore window layouts, toolbars, colors, fonts, and presets without altering project files or scientific options
- Disabled Atomic Partial Charges for Coarse-Grained Systems: Disabled atomic partial charge options in Maestro for Coarse-Grained (CG) models where atomic charges are irrelevant
- Decoupled 2D Viewer Settings & Hydrogen Controls: Added a dedicated “2D Settings…” option to the 2D Viewer gear menu (persisted across sessions) independent of global preferences, plus an “Expose All Hydrogens” toggle
- Clarified 2D Structure Preferences Scope: Preferences → 2D Structure explicitly specifies its scope across the Project Table and 2D Overlay, provides a shortcut to Ligand Detection settings, and ensures the 2D Overlay adheres to these preferences
Infrastructure
- Native Apple Silicon Support (macOS ARM64): Replaced x86_64 translation with native ARM64 binaries across the entire suite on macOS, allowing Maestro and integrated backends to execute natively on Apple Silicon without Rosetta 2
Target Validation & Structure Enablement
Protein Preparation
- Easier customization of hydrogen/bond order assignment settings
- Allow interactive termini capping during protein preparation
- Either terminal oxygen can now be rebuilt if missing from input structure
Predictive Tox Panel
- Three new targets have been added including one nuclear hormone receptor (progesterone), one GPCR (CB1), and one protease (MALT1)
Binding Site & Structure Analysis
Desmond Molecular Dynamics
- Added support of nucleotide-based receptors (DNA/RNA) in the Simulation Interaction Diagram (SID)
- New membrane bilayer template for POPE-POPG (3:1)
Desmond Molecular Dynamics
- Speed simulations up to ~66% with support to adjust Hydrogen Mass Repartitioning (HMR)
- Seven new mixed lipid bilayers are now supported by the System Builder
Ligand Preparation
Ligand Preparation and Conformation Generation
- Added ring spear detection to LigPrep to ensure macrocycle conformations with bonds passing through rings are not returned
Empirical and QM-based pKa Prediction
- An improved html report is now available at the end of Macro-pKa calculations
Hit Identification & Virtual Screening
Glide
- Use Generative Glide to screen billions of molecules with generative AI combined with physics-based docking in a fraction of the time of traditional screening to rapidly discover diverse, high-scoring hits
Macrocycles
- Macrocycle Docking script now support docking into cryo-electron microscopy (cryo-EM) density maps
- Macrocycle Docking panel can now be used to dock ligands into cryo-EM density maps with the new map input field
- Output poses for Macrocycle Docking jobs now retain the original input ligand titles
ABFEP
- Efficiently screen structurally diverse chemotypes and novel scaffolds up to 5X faster with high-throughput ABFEP Scan mode
- A representative structure from the solvent leg is now available
- Optionally apply alternative water models
Lead Optimization
Ligand alignment
- Tug Align 2 is now the default macrocycle ligand alignment algorithm in the Maestro Ligand Alignment panel
- The Ligand Alignment panel now exposes advanced alignment options for finer control of alignments of macrocycles
RetroSynth
- Updated RetroSynth reports to include:
- Cover page with high-level overview and vector images
- Faster result generation and smaller file size
- Every solved route, not just the top 30
- Select from custom vendors before launching RetroSynth
- New Stereochemical scoring accounts for variants in stereochemistry in custom stock
FEP+
- A representative structure from the solvent leg is now available
- Added support for nucleotide-based receptors (DNA/RNA)
Protein FEP
- A representative structure from solvent leg is now available
- New interface support to setup and analyze pH-dependent affinity predictions
- FEP+ Residue Scanning now supports protein mutations including non-standard amino acids at scale
Solubility FEP
- A representative structure from the hydration leg is now available
FEP+ Protocol Builder
- Added support for nucleotide-based receptors (DNA/RNA)
Quantum Mechanics
- DFT single point energies and geometry optimizations can be performed within the resolution-of-identity approximation on GPU
- Optical rotation as a function of wavelength is a new property in Jaguar panels
Macrocycles
- Open beta release for Tug Align 2, an improved flexible ligand alignment algorithm for fast alignment of macrocycles and other beyond rule-of-five compounds where standard flexible alignment is unsuitable
- Improved enrichment of native-like macrocycle conformers with Prime-MCS
- Prime Macrocycle Sampling panel default implicit solvent model is now the surface generalized born model
- Improved memory utilization for macrocycle scoring script when running QM scoring jobs
Education Content
- New Tutorial: Exploring Water Wire Effects on Reaction Barriers with AutoTS
- New Tutorial: Affinity Optimization of Macrocycles with FEP+
- New Tutorial: In Silico Multi-parameter Optimization of Protein-Protein Complexes
- New Tutorial: Refining Ligand Poses from Cryo-EM Models to Enable FEP+
- Updated Learning Path: Computational Target Analysis
Materials Science
GUI for Quantum ESPRESSO
Product: Quantum ESPRESSO (QE) Interface
- Upgrade to Quantum ESPRESSO 7.6
- VASP constraints retained when using POSCAR file as input (command line)
- Support for Broyden optimization in NEB calculations (command line)
- (+MATSCI_QE_SOLVATION) Support for 3D-RISM
- Surface Energy: Option to select slab surface termination groups
Defect Properties
Product: MS DefectPro
- Defect Correction: Support for Freysoldt correction on all OS
Microkinetics
Product: MS Microkinetics
- Multistage workflow for electrocatalysis
Active Learning Optoelectronics
Product: Active Learning Optoelectronics
- Active Learning Optoelectronics: MLFF option for geometry optimization
Reactivity
Product: MS Reactivity
- Reaction Network Viewer: Expanded list of energy-related properties
KMC Charge Mobility
Product: MS Mobility
- Compute KMC Charge Mobility: Improved prediction for zero-field mobility
Reactive Interface Simulator
Product: MS RIS
- Solid Electrolyte Interphase: Speedup (up to 4 times) with improved algorithms
Advanced Force Field Applications
Product: MS FF Applications
- MLFF Calculation: Output structures returned along the optimization path
- MLFF Fine-Tuning: Support for training with multiple datasets
- MLFF Fine-Tuning: Option to start fine-tuning from a custom MPNICE model
- MLFF Fine-Tuning: Option to customize the fraction of validation set
- MLFF Fine-Tuning: Option to train on data from other MLFF simulations
Transport Calculations via MD simulations
Product: MS Transport
- Ionic Conductivity: Support for solid-state structures as input
Coarse-Grained (CG) Molecular Dynamics
Product: MS CG
- Backmapping: Secondary structure in protein structures retained
- Backmapping: Option to record intermediate structures and trajectories
- Backmapping: Support for antibodies
- Coarse-Grained Sketcher: Support for loading CG structures for editing
- CG FF Builder: NPT ensemble set as default
- CG FF Builder: Improved speed and memory utilization for RDF calculations
- CG FF Builder: Control over the ratio of training from all-atom and CG trajectories
- Coarse-Grained Mapping: Support for mapping from command-line
Materials Informatics
Product: MS Informatics
- Machine Learning Property: 5 new models for properties of inorganic crystals
- MPNICE Embeddings: Option to load results from the file system
- MPNICE Embeddings: Six new machine learning models to select
- MLFF Calculations: Support for parallel simulations
- Solubility ML: Prediction of molecular solubility in non-aqueous solvents
Formulation ML
Product: MS Formulation ML
- Formulation ML Optimization: Returning CSV output
- Formulation ML: Feature Importance reported for individual formulations
Denovo ML
Product: MS Denovo ML
- REINVENT: Access to pre-trained ML models
- Inverse Molecular Design: AI-powered workflow to generate organic molecules with target properties
MS Maestro Builders and Tools
- Agentic Workflow: AI Agent for building Meta Workflows
- Assign Space Group: Option to set up tolerance for symmetry
- Disordered System: Retention of component titles as atom-level properties
- Import Slabs: Additional (49) slab surface models for semiconductor application
- Infrastructure: Visualization of input SMARTS patterns
- Interface Builder: Option to build non-primitive slab surfaces (command line)
- Meta Workflows: (+META_WORKFLOW_QE) Support for Quantum ESPRESSO
- Meta Workflows: Support for Thermal Conductivity
- Partial Concentration: Mixture components labeled after the original entry title
- Periodic Enumeration: Option to set oxidation states for Ewald ranking
- Periodic Enumeration: Option to limit the number of output structures
- Periodic Enumeration: Option to turn off space group assignment for speed-up
- Periodic Enumeration: Option to turn off atom connections for speed-up
- Reaction Path Viewer: Support for MLFF
- Semicrystalline Polymer: UI for assigning head/tail sites on repeat units
- Semicrystalline Polymer: Multiple monomer types in amorphous region
- Semicrystalline Polymer: Improved algorithm for a speed-up of up to 20 times
- Solvate System: Support for MLFF
- Solvate System: Retention of component titles as atom-level properties
- Structured Liquid: Retention of component titles as atom-level properties
- Structured Liquid: Support for MLFF
- Sugar Builder: Option to build with glycosylation patterns
Classical Mechanics
- Droplet: Support for MLFF
- Mixing Enthalpy: (+MATSCI_MIXING_ENERGY) Support for parallel computing on multiple GPUs
- Mixing Enthalpy: (+MATSCI_MIXING_ENERGY) Workflow solution to compute energy of mixing and the Flory-Huggins χ parameter for multi-component polymeric materials
- Polymer Crosslink: Improved structure-scanning algorithm for speed-up
- Umbrella Sampling: Support for job restart/extension
- Script for modifying 3D molecular structure of an RNA (command line)
Quantum Mechanics
- QM Multistage: GPU support for single-point energy and geometry optimization
- QM Multistage: Option to compute optical rotation as a function of wave length
- Adsorption Energy: Support for applying pressure lower than 0.01 atm
- Adsorption Energy: Increased vacuum in PBC for molecules in the gas phase
- Adsorption Energy: Option to include the dipole correction
- Bond and Ligand Dissociation: Option to specify bonds to dissociate
- CREST: Available to run on MS Maestro license
- Optoelectronic Film Properties: Option to compute dipole for all input molecules
- Optoelectronic Film Properties: Giant surface potential (GSP)
- Optoelectronic Film Properties: Spontaneous orientation polarization (SOP)
- Optoelectronic Film Properties: Order parameters for the electric dipole moment
- Optoelectronics: Support for geometry optimization via MLFF
- Phase Diagram: User control over displayed units
- Probe Grid Scan: Support for probing the interior of cage-like molecules
Education Content
- New Tutorial: Designing Workflows with Agentic AI Models
- New Tutorial: Spontaneous Orientation Polarization and Giant Surface Potentials of Thin-Films
- New Tutorial: Microkinetic Modeling of Electrocatalytic Reactions
- New Tutorial: Protein Characterization: Part 3
- New Tutorial: De Novo Design of Novel Compounds with Path Steered Diffusion Model
- New Tutorial: Building Glycans with the Sugar Builder
- New Tutorial: Machine Learning Solubility Prediction
- New Tutorial: Machine Learning Property Prediction for Inorganic Crystals
- Updated Tutorial: Kinetic Monte Carlo (KMC) Charge Mobility
Education Content
Life Science
- New Tutorial: Exploring Water Wire Effects on Reaction Barriers with AutoTS
- New Tutorial: Affinity Optimization of Macrocycles with FEP+
- New Tutorial: In Silico Multi-parameter Optimization of Protein-Protein Complexes
- New Tutorial: Refining Ligand Poses from Cryo-EM Models to Enable FEP+
- Updated Learning Path: Computational Target Analysis
Materials Science
- New Tutorial: Designing Workflows with Agentic AI Models
- New Tutorial: Spontaneous Orientation Polarization and Giant Surface Potentials of Thin-Films
- New Tutorial: Microkinetic Modeling of Electrocatalytic Reactions
- New Tutorial: Protein Characterization: Part 3
- New Tutorial: De Novo Design of Novel Compounds with Path Steered Diffusion Model
- New Tutorial: Building Glycans with the Sugar Builder
- New Tutorial: Machine Learning Solubility Prediction
- New Tutorial: Machine Learning Property Prediction for Inorganic Crystals
- Updated Tutorial: Kinetic Monte Carlo (KMC) Charge Mobility
LiveDesign
What’s Upcoming in 2026-4
- Access Lilly TuneLab in LiveDesign to advance preclinical drug discovery with proprietary Lilly AI models
- Any user can now import a biologic entity through a file upload. The original registrar can overwrite the entity’s metadata, and any user can append metadata
- Import published assay data through file uploads for small molecules. Use SDF, CSV, MAE, or .xlsx to make the assay data accessible across all LiveReports
- Analyze SAR with the SAR Analysis Dashboard
- See LiveDesign server load through the System Health Tool
- Combine Filter elements into Groups
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.
Tutorials
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.