StarDrop 5 - Drug Discovery Software
StarDrop is a suite of software that helps you to deliver optimally balanced, effective drugs - fast StarDrop works by evaluating complex data, which is often uncertain because of experimental variability or predictive error. In scoring this data, it brings confidence and intuitive simplicity to decision-making: guiding and validating the direction you take and which compounds you prioritise. Its instantly interactive tools t…
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StarDrop is a suite of software that helps you to deliver optimally balanced, effective drugs - fast
StarDrop works by evaluating complex data, which is often uncertain because of experimental variability or predictive error. In scoring this data, it brings confidence and intuitive simplicity to decision-making: guiding and validating the direction you take and which compounds you prioritise. Its instantly interactive tools then enable you to efficiently explore ways to further improve your chosen chemistries.
Highly visual and easy-to-use, StarDrop also works with your existing IT systems to integrate a multiplicity of data sources. The latest release, version 5.5, comes with extensive data visualisation tools, which now include interactive 3D scatter and chemical space plots.
StarDrop's modules include predictive ADME models, P450 metabolism prediction, automatic model building, application of 3D SAR based on Cresset's Field technology, knowledge based toxicity prediction through Derek Nexus while the Nova module can be used for automatically generating new compound ideas in parrallel with the BIOSTER database.
StarDrop 5 - Drug Discovery Software Features:
- Probabilistic Scoring
- Chemical space
- Glowing Molecule
- Data visualisation
- R-group analysis
StarDrop 5 Optional Modules:
- ADME QSAR
- Auto-Modeller
- Nova
- BIOSTER
- P450
- torch3D
- Derek Nexus
- MPO Explorer
Finding the Rules for Successful Drug Optimization
Drug discovery is widely recognised as a process of multi-parameter optimisation, with the objective of finding compounds that meet a profile of many property criteria. These will depend on the ultimate therapeutic goal of the project and are typically chosen based on the subjective opinion of the project team. However, analysis of historical data can help to guide the determination of the most appropriate profile. In this article we describe computational approaches, described a described as rule induction, that enable an objective analysis of complex data to objectively identify multi-parameter rules that distinguish compounds likely to be successful for a project’s goal.
StarDrop 5 – Software for Successful Drug Discovery
Watch this video to learn about the key features of the new StarDrop 5 software for drug discovery. The software allows you to assess your compounds potential for success against your project’s objectives, compare all your candidate molecules against a weighted profile of required properties to see which are most likely to succeed as well as visualise chemical diversity, identify high quality compounds and create diverse and balanced selections. The Glowing Molecule visualisation shows you the regions of candidate molecules which may have the most influence on predicted properties. Try out new ideas interactively with instant feedback.
Optibrium adds augmented intelligence for compound design to its StarDrop small molecule drug discovery software
New Inspyra module combines chemists’ expertise with exploratory capabilities of automated compound
Optibrium uses deep learning to successfully predict human panel-based sensory perception of novel compounds used for flavors and fragrances
The study demonstrates the accuracy and predictive capability of proprietary deep learning for developing flavours and fragrances, and in drug discovery
Optibrium releases 3D ligand-based design module for StarDrop Drug Discovery Software
The innovative predictive methods support virtual screening and compound design in the absence of 3D structure data
Optibrium and BioPharmics have entered partnership on computational drug design
Industry-leading 3D ligand-based design approaches from BioPharmics will be available in StarDrop, Optibrium’s small molecule design and optimization software
Optibrium raises investment to advance computer-aided drug discovery
Investment by Kester Capital will drive commercial growth and the development of new products to improve speed, efficiency, and productivity of the discovery process
Optibrium Adds 3D Structure-Based Design with Introduction of StarDrop 6.3
Seamless link between 2D and 3D structure-activity relationships guides more efficient compound optimization
