SYBYL
Computational Informatics Software for Molecular Modelers
SYBYL© is a suite of computational informatics software designed to enhance the drug discovery workflows and decision-making of today's computational chemists and molecular modelers. An industry standard for over 20 years and the basis for Tripos' expert molecular modeling environment, SYBYL provides the fundamental components for understanding molecular structure and properties with an emphasis on the discovery of lead candidates.
Computational chemists understand the impact that continual innovation can bring to the technologies used in their in silico discovery programs. They realize the benefits of complementing their own chemical intuition with validated science. Well-designed and frequently updated software can save valuable time and often means the difference between success and failure. Tripos' premier computational informatics offering, SYBYL, leads the way in innovation with its ever-growing suite of technologies and our commitment to applied science and frequent product enhancements.
Key SYBYL Benefits
- Constant and consistent scientific innovation
- Comprehensive suite of task-based solutions
- Fully integrated, easy-to-use interface
- Industry-leading Technical Support
- Comprehensive Training Workshops
- Availability on multiple platforms
- Flexible licensing options
Ligand-Based Design
Ligand-based design techniques use information about one or several known actives (ligands) as a basis for the design of lead compounds. Tripos offers core science and workflow-centric applications to address critical ligand-based design tasks, such as structure-activity relationship modeling, pharmacophore hypothesis generation, molecular alignment, and ADME prediction. » more
Receptor-Based Design
Receptor-based design techniques use information about the structure of a drug target (receptor) as a basis for the design of lead compounds. Tripos offers core science and workflow-centric applications to address critical receptor-based design tasks, such as ligand docking, virtual screening, de novo design, and lead optimization. » more
Structural Biology and Bioinformatics
Structural biology and bioinformatics techniques aid discovery researchers in the study of protein structure and function. Predicting, constructing, and assessing 3D protein models is a critical component to a better understanding of receptor-ligand interactions. Tripos applies homolog recognition, structure and function prediction from sequence, ligand binding site analysis, and 3D modeling techniques in workflow-centric applications that address critical structural biology design tasks, such as macromolecular modeling and bioinformatic analysis. » more
Library Design
Chemical library design techniques allow researchers to develop combinatorial or focused compound collections useful in lead identification and optimization. Truly diverse, representative, and synthetically-feasible compound sets speed the identification of active small molecules. Tripos offers core science and workflow-centric applications to address critical library design tasks, such as library creation and molecular diversity enhancement. » more
Cheminformatics
Cheminformatic tools help researchers extract usable information from the volumes of data generated by high-throughput and combinatorial technologies that characterize modern research methods. These tools address the need to facilitate, store, and explore the chemical and biological data that is key to the success of drug discovery programs. Tripos offers core science and integrated applications to address critical cheminformatic tasks, such as data mining and analysis, as well as structure representation and optimization. » more
Supplemental Technologies
Supplemental Technologies span the SYBYL® expert molecular modeling environment and impact multiple workflows. These SYBYL applications offer core science to address critical tasks and provide molecular descriptors and interactions, tools for molecular modeling and visualization, and high volume data set exploration. » more
More Information
Discovery Informatics
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