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

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better activity, selectivity, and safety.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate 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 utilise our cutting-edge, exclusive workflow to develop focused 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.

Our library stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's 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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