Cresset releases the latest update to its agile ligand and structure-based drug design platform

Cresset launches Flare™ V10 with advanced FEP, protein-protein docking, and PLIF capabilities

Cresset has released Flare™ platform V10, a major update to its computational chemistry software designed for drug discovery teams worldwide. The new version delivers enhanced Free Energy Perturbation (FEP) calculations, including Absolute FEP, protein-protein docking, and Protein-Ligand Interaction Fingerprints (PLIF), enabling computational and medicinal chemists to predict ligand binding affinities more accurately, model complex protein interactions, and streamline structure-based design workflows.

Enhanced Absolute Free Energy Perturbation for accurate binding affinity prediction

Flare V10 introduces Absolute Free Energy Perturbation Calculations, enabling precise prediction of ligand binding affinities without the need for structurally related reference molecules. This Absolute FEP implementation uses the SOMD engine to deliver fast, GPU-accelerated simulations, supporting high-throughput and industrial-scale drug discovery projects.

Protein-Ligand Interaction Fingerprints for ligand clustering and SAR insight

Protein-Ligand Interaction Fingerprints (PLIF) in Flare V10 help scientists analyze and cluster ligands based on their interaction patterns with protein targets. By summarizing key contacts between ligands and binding sites, PLIF provides insights into structure–activity relationships and binding affinities, supporting lead optimization and rational design.

Protein-protein docking powered by JabberDock and PSO

The new protein-protein docking functionality predicts how two proteins interact to form a stable complex. Flare V10 leverages the JabberDock algorithm combined with Particle Swarm Optimization (PSO) to refine docking accuracy. This approach is particularly useful for modeling dimers, peptide–protein interactions, and multimeric assemblies, helping researchers explore complex biological mechanisms and interaction networks.

Advanced QSAR modeling with Gradient Boosting

Flare V10 expands its quantitative structure–activity relationship (QSAR) modeling capabilities with advanced methods, including Gradient Boosting, to improve predictive accuracy. These enhanced QSAR tools support data-driven decision-making and help medicinal chemists prioritize compounds more effectively.

Match3D for accurate protein superposition

The Match3D feature for protein superposition has been enhanced to ensure accurate alignment of proteins, even when sequence similarity is low. This supports comparative modeling, binding site analysis, and the transfer of structural insights across related protein families.

Quantum mechanics tools for detailed molecular analysis

Flare V10 includes upgraded Quantum Mechanics (QM) tools, such as torsion scans, solution-phase minimization, and carbanion input support. These QM methods enable detailed exploration of conformational preferences, reaction intermediates, and electronic effects that influence molecular behavior and binding.

Spark™ enhancements for bioisosteric replacement

Enhancements to Spark™ in Flare V10 streamline bioisosteric replacement workflows and result tracking. These improvements help chemists explore new chemical space efficiently, identify suitable bioisosteres, and manage design iterations more effectively within lead optimization campaigns.

Improved FEP graph visualization and quality scoring

FEP Graph Enhancements in Flare V10 include improved connectivity handling and quality scoring, providing clearer visualization of FEP networks. These tools help users interpret FEP results, assess calculation reliability, and optimize project strategies.

Molecular dynamics upgrades for flexible simulations

Molecular Dynamics (MD) capabilities in Flare V10 have been upgraded to support restrained simulations, improved trajectory exports, and more flexible restart options. These enhancements enable more controlled and reproducible MD studies, supporting detailed analysis of protein–ligand dynamics and conformational changes.

Supporting digital transformation in drug discovery

Sofia Bariami, Flare Product Manager at Cresset, commented, “We are excited to introduce the latest release of Flare, which makes the integration of advanced methods into research workflows even easier. As digital transformation continues to reshape drug discovery, Flare empowers researchers with cutting-edge computational tools to accelerate innovation, improve accuracy, and drive smarter decision-making.”

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