AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Tetraspanin-12

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.

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 protein-protein interfaces.

 Fig. 1. The sreening workflow of Receptor.AI

It features thorough molecular simulations of the target protein, both isolated and in complex with key partner proteins, complemented by ensemble virtual screening that accounts for conformational mobility in the unbound and complex states. The tentative binding sites are explored on the protein-protein interaction interface and at remote allosteric locations, encompassing the entire spectrum of potential mechanisms of action.

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

O95859

UPID:

TSN12_HUMAN

Alternative names:

Tetraspan NET-2; Transmembrane 4 superfamily member 12

Alternative UPACC:

O95859; A4D0V8; B4DRG6; Q549U9; Q8N5Y0

Background:

Tetraspanin-12, also known as Transmembrane 4 superfamily member 12, plays a pivotal role in retinal vascularization. It regulates cell surface receptor signal transduction, specifically through norrin (NDP) signal transduction, promoting FZD4 multimerization and beta-catenin accumulation. This process is crucial for LEF/TCF-mediated transcriptional programs. Additionally, Tetraspanin-12 is involved in activating cleavage activity of membrane proteinases such as ADAM10 and MMP14/MT1-MMP.

Therapeutic significance:

Tetraspanin-12 mutations are linked to Vitreoretinopathy, exudative 5, a disorder causing retinal detachment and blindness. Understanding the role of Tetraspanin-12 could open doors to potential therapeutic strategies for treating or managing this condition, highlighting its significance in medical research and drug discovery.

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