AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Cystathionine gamma-lyase

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.

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

 Fig. 1. The sreening workflow of Receptor.AI

The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize activity and selectivity.

Our library is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

P32929

UPID:

CGL_HUMAN

Alternative names:

Cysteine desulfhydrase; Cysteine-protein sulfhydrase; Gamma-cystathionase; Homocysteine desulfhydrase

Alternative UPACC:

P32929; B4E1R2; E9PDV0; Q53FB3; Q53Y79; Q9H4W7; Q9H4W8

Background:

Cystathionine gamma-lyase, also known as Cysteine desulfhydrase and Cysteine-protein sulfhydrase, plays a pivotal role in the trans-sulfuration pathway, converting L,L-cystathionine into L-cysteine, ammonia, and 2-oxobutanoate. This enzyme is essential for the biosynthesis of glutathione, a major antioxidant, and for producing hydrogen sulfide (H2S), a gasotransmitter involved in various physiological processes including vasodilation and inflammation.

Therapeutic significance:

Given its involvement in producing H2S and regulating levels of L-cysteine, Cystathionine gamma-lyase is linked to diseases such as Cystathioninuria. Understanding the role of Cystathionine gamma-lyase could open doors to potential therapeutic strategies for conditions related to abnormal sulfur amino acid metabolism.

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