Understanding and modeling the static and dynamic 3D structural properties of biological macromolecules is an important basis for structure based design activities and can uncover likely biological functions. SYBYL-X 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.
SYBYL-X’s structure-based virtual screening capabilities allow researchers interested in lead identification to identify promising lead candidates that interact with a receptor of interest from databases of in-house or commercially available compounds and perform critical tasks such as lead or scaffold hopping utilizing the knowledge of the receptor’s structure.
SYBYL-X’s macromolecular modeling and simulation capabilities enable researchers interested in lead optimization to understand and rationalize a drug's interactions with its receptor, to identify potential new binding interactions that will provide ‘step jumps’ in potency, or to identify options for improving ADME or physical properties without disrupting key receptor interactions. With SYBYL-X’s Surflex-Dock, lead optimization scientists can use SAR information to improve scoring and customize scoring for the target of interest.
Using SYBYL-X, you can:
SYBYL-X Core Technologies: Biopolymer, Advanced Protein Modeling