Preview on Chemical Space Docking

Yes, you read it right. Chemical Space Docking is on the horizon! The novel approach is the next level of structure-based virtual screening where billion-or even trillion-sized Chemical Space can be screened for the most promising drug candidates. A spotlight on the upcoming implementation of Chemical Space Docking illustrates the concept and its perks. You can already apply to become an early tester of the novel Chemical Space Docking Mode following this link. Stay tuned, stay excited!

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Midas Update: SeeSAR 13.1 Covalent Docking and External Docking Mode

SeeSAR 13.1 is here and it comes with a truckload of new features! The update to Midas is not only able to synergize with the new BioSolveIT platform HPSee, but will convince with a plethora of quality-of-life improvements. Therefore it may not surprise,

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A Gaze into Chemical Space Series

Introducing our latest series, A Gaze into Chemical Space, where we explore the expansive realms of combinatorial compound collections. Our aim in this exercise is to uncover similar compounds of potential and approved drugs using various methods. Typical

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AMBrosia by Ambinter Divine Access to Billions of Compounds

Experience the divine flavor of almost infinite drug-like compounds with the new Chemical Space AMBrosia. This ultra-large compound molecule collection has been created in close collaboration with Ambinter (a brand of Greenpharma). It is based on unique i

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infiniSee 6 Echo Completes Trinity of Chemical Space Navigation

We are more than proud to complete the trinity of Chemical Space navigation with the release of infiniSee Version 6, codenamed Echo! With Echos debut, a new feature called Motif Matcher has been introduced, enabling the screening of incredibly vast Chemic

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New Platform: High-Performance Computing with HPSee

We are excited to announce the release of BioSolveITs third platform — HPSee! HPSee is your scalable workflow environment for high-performance computing and virtual screening. It was developed to facilitate and enable large-scale computations such as stru

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