What other software does StarDrop integrate with?
StarDrop — A Swiss Army knife for drug discovery It’s designed to fit right in with the other tools you…
StarDrop — A Swiss Army knife for drug discovery It’s designed to fit right in with the other tools you…
Finding the right fit There’s no one-size-fits-all solution when it comes to data visualisation and analysis tools for drug development…
The role of generative chemistry in drug discovery A key difficulty in finding new drugs is the sheer size of…
In this ebook, you’ll discover the key considerations which every leader needs to take in order to successfully implement AI in their drug discovery pipelines.
Generative molecular design provides new exciting avenues of chemical space exploration. But how can we use these methods effectively to assess many optimisation strategies and find the compounds destined for success in our projects?
Join Dr Matt Segall and Dr Michael Parker as they explore state-of-the-art generative chemistry, and discuss the importance of an augmented intelligence approach for successful discovery.
The objective in this worked example is to identify new derivatives that are likely to improve activity at their target, given the SAR already generated on a project.
This worked example uses Inspyra™ to interactively explore optimisation strategies to achieve a selective inhibitor of DPP-4 with appropriate physicochemical properties.
In this example, we are going to use the reaction-based library enumeration feature in StarDrop’s Nova module to generate a library of virtual compounds. This will be based on pre-defined sets of reagents that will be used to generate products using well-known reactions.
In this example, using StarDrop’s R-group clipping tool, we will quickly transform chemical building blocks into their corresponding substituents, ready to enumerate a virtual library in StarDrop’s Nova module.
In this example, scaffold hopping with library enumeration, we are going to use the library enumeration feature in StarDrop’s Nova…
In this study, we identified a new antimalarial with an unusual structure – the only compound in the competition to be proven active, opening up new chemistry for exploration.
Why have generative chemistry methods been unable to redefine modern drug discovery and compound idea generation?’ In this session we shed light on a typical shortcoming of generative methods related to prioritising promising over unsuitable directions for exploration.
In this webinar, we demonstrate intuitive workflows for 3D ligand-based drug design
In this webinar, we demonstrated how to generate virtual libraries by applying tractable, robust chemical reactions to readily available building blocks in a highly flexible and user-friendly environment.
This paper, co-authored with our colleagues at NextMove Software, explores applications of Matched Series Analysis within StarDrop’s Nova module to…
Summary This review article discusses recent developments in the methods and opinions around multi-parameter optimisation, focusing on applications to de novo drug…
Explore the virtual library design capability as part of StarDrop’s Nova module, providing flexible and easy scaffold-based enumeration of a virtual library.…
Summary This article on applying med chem transformations and multi-parameter optimisation describes the concepts and algorithms underlying StarDrop’s Nova module. We’ve developed…