AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Heparan sulfate glucosamine 3-O-sulfotransferase 5

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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.

partner

Reaxense

upacc

Q8IZT8

UPID:

HS3S5_HUMAN

Alternative names:

Heparan sulfate D-glucosaminyl 3-O-sulfotransferase 5

Alternative UPACC:

Q8IZT8; A8K1J2; Q52LI2; Q8N285

Background:

Heparan sulfate glucosamine 3-O-sulfotransferase 5, alternatively known as Heparan sulfate D-glucosaminyl 3-O-sulfotransferase 5, plays a pivotal role in the biosynthesis of heparan sulfate. This enzyme catalyzes the transfer of a sulfo group to glucosamine residues, a critical step in forming anticoagulant heparan sulfate. Its activity is essential for generating specific structures that serve as binding receptors for pathogens like Herpes simplex virus-1 (HSV-1), facilitating their entry.

Therapeutic significance:

Understanding the role of Heparan sulfate glucosamine 3-O-sulfotransferase 5 could open doors to potential therapeutic strategies. Its involvement in the biosynthesis of anticoagulant heparan sulfate and interaction with pathogens highlights its potential as a target for developing treatments against viral infections and coagulation disorders.

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