Focused On-demand Library for Serine/threonine/tyrosine-interacting protein

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.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed 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.

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse biological functions.

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.







Alternative names:

Inactive tyrosine-protein phosphatase STYX; Phosphoserine/threonine/tyrosine interaction protein

Alternative UPACC:

Q8WUJ0; B9EJG0; Q99850


The Serine/threonine/tyrosine-interacting protein, also known as Inactive tyrosine-protein phosphatase STYX and Phosphoserine/threonine/tyrosine interaction protein, plays a pivotal role in cellular processes. Despite its catalytic inactivity as a phosphatase, it serves as a crucial nuclear anchor for MAPK1/MAPK3 (ERK1/ERK2), modulating cell-fate decisions and cell migration through the spatiotemporal regulation of these kinases. Additionally, it interacts with the F-box of FBXW7, inhibiting the degradation of substrates by preventing the assembly of the SCF E3 ubiquitin-protein ligase complex, and is implicated in spermatogenesis.

Therapeutic significance:

Understanding the role of Serine/threonine/tyrosine-interacting protein could open doors to potential therapeutic strategies.

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