AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Sulfide:quinone oxidoreductase, mitochondrial

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced activity, selectivity, and safety.

We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

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.

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

 Fig. 1. The sreening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost 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

Q9Y6N5

UPID:

SQOR_HUMAN

Alternative names:

Sulfide dehydrogenase-like; Sulfide quinone oxidoreductase

Alternative UPACC:

Q9Y6N5; Q9UQM8

Background:

Sulfide:quinone oxidoreductase, mitochondrial, also known as sulfide dehydrogenase-like or sulfide quinone oxidoreductase, plays a crucial role in hydrogen sulfide metabolism. It catalyzes the oxidation of hydrogen sulfide into thiosulfate and sulfane atoms, utilizing quinones like ubiquinone-10 and requiring an electron acceptor, potentially glutathione in vivo.

Therapeutic significance:

The protein is linked to Sulfide:quinone oxidoreductase deficiency, an autosomal recessive disorder with a spectrum from encephalopathy and Leigh syndrome manifestations to asymptomatic cases. This association highlights its potential as a target for therapeutic strategies in treating or managing this metabolic disorder.

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