Focused On-demand Library for Hyaluronidase-4

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved 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

It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage 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:

Chondroitin sulfate endo-beta-N-acetylgalactosaminidase; Chondroitin sulfate hydrolase; Hyaluronoglucosaminidase-4

Alternative UPACC:

Q2M3T9; D0VXG1; Q9UL99; Q9Y6T9


Hyaluronidase-4, also known as Chondroitin sulfate endo-beta-N-acetylgalactosaminidase, plays a crucial role in the degradation of hyaluronan into smaller oligosaccharide fragments. This protein exhibits chondroitin sulfate hydrolase activity, efficiently breaking down the galactosaminidic linkage in trisulfated tetrasaccharides.

Therapeutic significance:

Understanding the role of Hyaluronidase-4 could open doors to potential therapeutic strategies. Its ability to degrade key components of the extracellular matrix suggests potential applications in treating diseases where matrix accumulation is a factor.

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