BIOVIA Discovery Studio
Equipped with integration features with other BIOVIA lab management solutions! Providing solutions necessary for drug discovery at the lab level.
BIOVIA Discovery Studio is software that enables 3D modeling and simulation of molecules for the pharmaceutical and medical device industries. It allows for in-depth investigation of mechanisms of action at the atomic level, examination of subtle differences in proteins, and encompasses everything from drug target identification to lead optimization. In addition to modeling and simulation capabilities, it is a comprehensive tool for drug discovery and medical device development that also includes screening and quality prediction functions using databases. It can be used independently, but it also has integration features with other BIOVIA lab management solutions we offer. This allows us to provide the necessary solutions for drug discovery at the lab level. *For more details, please download the PDF or feel free to contact us.
basic information
**Features** - High reliability: The fundamental functions of computational chemistry and computational biology included have been developed and researched by scientists worldwide and have been validated through years of peer-reviewed studies. - Rich functionality: It includes modeling of three-dimensional structures and highly versatile molecular mechanics simulations, along with data management and data analysis functions for virtual screening. - Compatibility with various drug design methods: Supports homology modeling, structure-based design, fragment-based design, pharmacophore utilization, structure-activity relationship utilization, and design methods that combine these approaches. *For more details, please contact us.*
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Applications/Examples of results
【Applications】 ■ Various drug design methods are available, including homology modeling, structure-based design, fragment-based design, pharmacophore, and the utilization of structure-activity relationships. ■ Docking simulations of ligands and protein receptors. ■ Prediction of properties related to quality, such as pharmacokinetics, toxicity, aggregation, and viscosity. *For more details, please download the PDF or feel free to contact us.
