Focused On-demand Library for Lysosomal acid glucosylceramidase

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better activity, selectivity, and safety.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner Reaxense.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

We use our state-of-the-art dedicated workflow for designing focused libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.







Alternative names:

Acid beta-glucosidase; Alglucerase; Beta-glucocerebrosidase; Beta-glucosylceramidase 1; Cholesterol glucosyltransferase; Cholesteryl-beta-glucosidase; D-glucosyl-N-acylsphingosine glucohydrolase; Glucosylceramidase beta 1; Imiglucerase; Lysosomal cholesterol glycosyltransferase; Lysosomal galactosylceramidase; Lysosomal glycosylceramidase

Alternative UPACC:

P04062; A8K796; B7Z5G2; B7Z6S1; J3KQG4; J3KQK9; Q16545; Q4VX22; Q6I9R6; Q9UMJ8


Lysosomal acid glucosylceramidase, known by names such as Acid beta-glucosidase and Imiglucerase, plays a pivotal role in the lysosomal degradation of glucosylceramide into ceramide and glucose. This enzyme is essential for the turnover of cellular membranes and the metabolism of complex lipids.

Therapeutic significance:

Mutations in this enzyme lead to Gaucher disease, a lysosomal storage disorder with varying forms and severities, including neuronopathic and non-neuronopathic types. Its involvement in Parkinson disease highlights its broader impact on neurodegenerative disorders, making it a target for therapeutic intervention.

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