AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Thiosulfate sulfurtransferase

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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.

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.

The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

Our top-notch dedicated system is used to design specialised 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.

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

Reaxense

upacc

Q16762

UPID:

THTR_HUMAN

Alternative names:

Rhodanese

Alternative UPACC:

Q16762; B3KRM1; Q6IB06

Background:

Thiosulfate sulfurtransferase, also known as Rhodanese, plays a crucial role in the formation of iron-sulfur complexes, cyanide detoxification, and modification of sulfur-containing enzymes. Its ability to act as a sulfur ion acceptor extends beyond cyanide, showcasing versatility in its function. Additionally, it exhibits mercaptopyruvate sulfurtransferase activity, albeit weakly. A notable function includes acting alongside MRPL18 as a mitochondrial import factor for cytosolic 5S rRNA, highlighting its importance in cellular processes.

Therapeutic significance:

Understanding the role of Thiosulfate sulfurtransferase could open doors to potential therapeutic strategies.

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