Focused On-demand Library for Hyaluronidase-2

Details

Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior activity, selectivity and safety.


From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Reaxense aids in their synthesis and provision.


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 employ our advanced, specialised process to create targeted libraries for enzymes.


 

Fig. 1. The screening 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.


Several key aspects differentiate our library:


  • Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.

  • The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.

  • Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.

  • In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.

PARTNER
Receptor.AI
 
UPACC
Q12891

UPID:
HYAL2_HUMAN

ALTERNATIVE NAMES:
Hyaluronoglucosaminidase-2; Lung carcinoma protein 2

ALTERNATIVE UPACC:
Q12891; B3KRZ2; O15177; Q9BW29

BACKGROUND:
The protein Hyaluronidase-2, known alternatively as Hyaluronoglucosaminidase-2 or Lung carcinoma protein 2, is instrumental in degrading high molecular weight hyaluronic acid into intermediate-sized products. These are then further processed into small oligosaccharides. Hyaluronidase-2's activity, although minimal, is crucial for its negative regulatory role on MST1R.

THERAPEUTIC SIGNIFICANCE:
The exploration of Hyaluronidase-2's function offers a promising avenue for the development of new therapeutic approaches. Its unique role in hyaluronic acid metabolism and interaction with MST1R positions it as a potential target for drug discovery.

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