Flare is an agile ligand-based and structure-based drug design solution enabling research chemists to discover novel small molecules more efficiently and effectively in a fully integrated platform
Spark, Cresset's bioisosteric replacement tool, has been fully integrated into Flare. For the licensing options of Spark in Flare, please check the Spark licensing page.
Flare Visualizer
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Flare Essentials
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Flare Designer
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Flare StructurePro
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Flare LigandPro
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Flare Pro+
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Commercial organizations | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Academics | Flare Essentials recommended | See academic licensing options | Option | Option |
Flare Visualizer
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Flare Essentials
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Flare Designer
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Flare StructurePro
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Flare LigandPro
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Flare Pro+
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Dedicated protein table enabling rapid inspection of specific chains or residues |
✓ |
✓ | ✓ | ✓ | ✓ | ✓ |
Protein sequence alignment and superposition | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Control every protein surface with individual display options in the dedicated protein surfaces table | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Load and view electron density maps | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Monitor alternate conformations for ligands and protein residues |
✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Check protein structures for potential problems | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Calculate and color protein molecular surfaces by secondary structure and hydrophobicity | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Prepare proteins for further calculation | ✓ | ✓ | ✓ | ✓ | ✓ | |
Perform single point mutation for your proteins | ✓ | ✓ | ✓ | ✓ | ✓ | |
Protein minimization | ✓ | ✓ | ✓ | ✓ | ✓ | |
Calculate and color protein molecular surfaces by Electrostatic Complementarity™ to specific ligands | ✓ | ✓ | ✓ | ✓ | ||
Calculate water thermodynamic properties using GIST | ✓ | ✓ | ||||
Enhanced water sampling during GIST calculations using Grand Canonical Nonequilibrium Candidate Monte Carlo (GCNCMC) | ✓ | ✓ | ||||
Calculate water stability and positions using 3D-RISM with XED and Amber force fields | ✓ | ✓ | ||||
Merge protein loops and equilibrate with dynamics | ✓ | ✓ | ||||
Study conformational changes of proteins and assess the stability of protein-ligand complexes using OpenMM dynamics on CPU or GPU | ✓ | ✓ | ||||
Run dynamics experiment using accurate explicit water models or phospholipid membranes | ✓ | ✓ | ||||
Enhance water sampling during the dynamics experiment using Grand Canonical Nonequilibrium Candidate Monte Carlo (GCNCMC) | ✓ | ✓ | ||||
Analyze dynamics trajectories using interactive visual tools | ✓ | ✓ | ||||
Find the druggable binding sites in your proteins using Pocket detection and analysis | ✓ | ✓ | ||||
Characterize each pocket according to a number of parameters including a druggability score | ✓ | ✓ | ||||
Monitor the frequency of the opening/closing and the druggability of pocket over a dynamics trajectory | ✓ | ✓ |
Flare Visualizer
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Flare Essentials
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Flare Designer
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Flare StructurePro
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Flare LigandPro
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Flare Pro+
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Dedicated ligand table to store all ligands in your project with full visibility control, sortable on any column | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Design ligands in the active site of the protein | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Calculated physico-chemical properties for each ligand | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Calculate radial plot multi-parametric scores to select the compounds with the best properties | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Filter ligands on physico-chemical properties, structures and tags | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Visualize ligand electrostatics to gain a deep understanding of SAR | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Import your Spark project direclty into Flare to help you prioritize, via a wide portfolio of ideas and methods, the best molecules to make. | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Start a Blaze™ virtual screening experiment on millions of compounds from the GUI | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Browse and retrieve Blaze search results directly, visualizing enrichment plot and statistics for each Blaze refinement level | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Easy and accurate docking of ligands using 1 CPU core including ensemble, template and covalent docking methods | ✓ | ✓ | ✓ | ✓ | ✓ | |
Dock ligands using multiple CPU cores including ensemble, template and covalent docking methods | ✓ | ✓ | ✓ | ✓ | ||
Use HPC resources to rapidly dock thousands of ligands | Option | Option | Option | |||
Constrain docking experiments to ensure specific pharmacophoric features are always matched | ✓ | ✓ | ✓ | ✓ | ✓ | |
Dynamically switch on/off to water molecules to achieve optimal configuration for docking each ligand | ✓ | ✓ | ✓ | ✓ | ✓ | |
Minimize one or more ligands in the protein active site | ✓ | ✓ | ✓ | ✓ | ✓ | |
Perfect ligand design using ligand and protein electrostatics | ✓ | ✓ | ✓ | ✓ | ||
Perfect molecular design using Electrostatic Complementarity™ maps and scores | ✓ | ✓ | ✓ | ✓ | ||
Explore conformations for ligands using Cresset's XED force field | ✓ | ✓ | ✓ | ✓ | ||
Align ligands using Cresset's patented field based algorithm or common substructure to a reference ligand | ✓ | ✓ | ✓ | ✓ | ||
Constrain molecular alignments to ensure specific pharmacophoric and electrostatic features are always matched | ✓ | ✓ | ✓ | ✓ | ||
Use multiple reference ligands to define how ligands bind to your protein | ✓ | ✓ | ✓ | ✓ | ||
Develop detailed models of binding starting in absence of 3D information or protein crystal structures | ✓ | ✓ | ||||
Find a pharmacophore that can be used as a template for aligning other active molecule | ✓ | ✓ | ||||
Automatically create the most predictive regression or classification models for activity using Machine Learning methods | ✓ | ✓ | ||||
Create predictive Consensus models for regression and classification | ✓ | ✓ | ||||
Build Machine Learning models using Cresset 3D descriptors, RDKit descriptors and RDKit fingerprints | ✓ | ✓ | ||||
Create detailed Field QSAR models for multiple activities | ✓ | ✓ | ||||
Score new molecules against Field QSAR and Machine Learning models | ✓ | ✓ | ✓ | ✓ | ||
Spot outliers in the 3D descriptor space using the PCA component plot | ✓ | ✓ | ||||
Use Activity Atlas™ to calculate and display in 3D activity cliffs summaries, using 3D similarity | ✓ | ✓ | ||||
Use Activity Miner™ to find and examine activity cliffs in 3D and 2D | ✓ | ✓ | ✓ | ✓ | ||
Use Activity Miner to find and examine selectivity cliffs using 2D and 3D similarity | ✓ | ✓ | ✓ | ✓ | ||
View hierarchical clustering of your molecules using 2D or 3D similarity | ✓ | ✓ | ✓ | ✓ | ||
Inspect conformation populations for the molecules of interest | ✓ | ✓ | ✓ | ✓ | ||
Calculate CSD torsion frequencies for the rotatable bonds of ligands, conformations, docked poses and ligand alignments, based on the Torsion Library method | ✓ | ✓ | ✓ | ✓ | ||
Perform a geometry check of ligand torsions using the Mogul Library from CCDC (requires a CSD license) | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Enumerate small and medium sized chemical libraries directly from the GUI, choosing from more than 50 popular synthetic chemistry reactions | ✓ | ✓ | ✓ | ✓ | ||
Enumerate larger libraries by saving the output to disk | ✓ | ✓ | ✓ | ✓ | ||
Create your own in silico reaction using Flare's friendly interface RDKit enumeration | ✓ | ✓ | ✓ | ✓ | ||
Filter chemical libraries and arrays during enumeration to focus on the desired physico-chemical profile | ✓ | ✓ | ✓ | ✓ | ||
Perform a rapid chemical exploration around a selected hit or lead compound | ✓ | ✓ | ✓ | ✓ | ||
Analyze the substitution pattern of a chemical series to identify all R-group variations around a common core | ✓ | ✓ | ✓ | ✓ | ||
Understand the influence of R-group variations on key compound properties | ✓ | ✓ | ✓ | ✓ | ||
Identify gaps in your chemical exploration strategy, by finding the combinations of promising substituents you haven’t tried yet | ✓ | ✓ | ✓ | ✓ | ||
Use Quantum Mechanics to perform geometry optimizations and single point energy calculations of individual ligands, conformation ensembles and ligand poses | ✓ | ✓ | ✓ | |||
Accurately calculate and display QM HOMO/LUMO orbitals, electron density and molecular electrostatic potentials at a high level of theory | ✓ | ✓ | ✓ | |||
Compute and visualize QM torsion profiles for selected rotamers in ligands of interest | ✓ | ✓ | ✓ | |||
Optimize the structure of larger molecules using semi-empirical methods | ✓ | ✓ | ✓ | |||
Automatically create and visualize high quality custom torsion parameters for small molecules in support to dynamics and Flare FEP experiments | ✓ | ✓ | ||||
Calculate ligand-protein binding free energy using the Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) method | ✓ | ✓ | ✓ | |||
Accurately predict ligand-protein affinity using Flare FEP | Option | Option | ||||
Create fully connected networks for reliable error assesment | Option | Option | ||||
Create star-graph networks to explore how changes to a single compound affect ligand-protein affinity using FEP | Option | Option | ||||
Explore perturbation networks for ligands with different net charge | Option | Option | ||||
Create minimum spanning tree networks to quickly prioritize the results of a Hit Expander experiment | Option | Option | ||||
Enhance water sampling during the Flare FEP experiment using Grand Canonical Nonequilibrium Candidate Monte Carlo (GCNCMC) | Option | Option | ||||
Expand FEP projects with new ligands | Option | Option | ||||
Troubleshoot Flare FEP results with a variety of interactive visual tools | Option | Option | ||||
Correct and re-run single, problematic links in the perturbation network using custom settings | Option | Option |
Flare Visualizer
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Flare Essentials
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Flare Designer
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Flare StructurePro
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Flare LigandPro
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Flare Pro+
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Ribbon menu structure for quick identification of commands and controls | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Customize the display of tabs and function buttons in the ribbon menu using the Flare profiles |
✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Launch multiple jobs locally or remotely | ✓ | ✓ | ✓ | ✓ | ✓ | |
Monitor all running, queued, finished and cancelled jobs | ✓ | ✓ | ✓ | ✓ | ✓ | |
Summary and detailed logging of calculations and events | ✓ | ✓ | ✓ | ✓ | ✓ | |
Visualize protein-ligand interactions and steric clashes | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Easily compare protein-ligand complexes | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Grid the 3D window by protein and ligand to compare and contrast | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Capture 3D view to the storyboard to track and communicate ideas | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Create stunning high definition pictures for communication of results | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Create informative videos of the 3D view and of the Flare GUI | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
Create interactive multi-series scatter plots boxplots and histograms of biological or physical properties | ✓ | ✓ | ✓ | ✓ | ✓ |
Flare Visualizer
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Flare Essentials
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Flare Designer
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Flare StructurePro
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Flare LigandPro
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Flare Pro+
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Access the RDKit cheminformatics toolkit | With supported version | ✓ | ✓ | ✓ | ✓ | ✓ |
Create and automate workflows using the Python® API | With supported version | ✓ | ✓ | ✓ | ✓ | ✓ |
Upgrade Flare with Python modules for graphing, statistics, Jupyter Notebook | With supported version | ✓ | ✓ | ✓ | ✓ | ✓ |
Expand the functionality of the Flare GUI using Python extensions | With supported version | ✓ | ✓ | ✓ | ✓ | ✓ |
Automate and distribute Flare calculations using pyFlare and Cresset released Python scripts and snippets | Option | Option | Option | |||
Export docking, alignment, dynamics and FEP calculations from the GUI and run them with pyFlare | Option | Option | Option |
Flare Visualizer
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Flare Essentials
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Flare Designer
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Flare StructurePro
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Flare LigandPro
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Flare Pro+
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KNIME™ integration | As visualizer | As visualizer | As visualizer | With pyflare option |
Flare Visualizer
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Flare Essentials
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Flare Designer
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Flare StructurePro
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Flare LigandPro
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Flare Pro+
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Cresset Engine Broker™ | Option |
Flare Visualizer
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Flare Essentials
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Flare Designer
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Flare StructurePro
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Flare LigandPro
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Flare Pro+
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Email support | Option | ✓ | ✓ | ✓ | ✓ | ✓ |
Contact us to discuss your custom licensing requirements.
Free licenses in some countries only – please enquire.