Focused On-demand Library for TRAF3-interacting protein 1

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.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

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

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive spectrum of biological functions.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.







Alternative names:

Interleukin-13 receptor alpha 1-binding protein 1; Intraflagellar transport protein 54 homolog; Microtubule-interacting protein associated with TRAF3

Alternative UPACC:

Q8TDR0; Q6PCT1; Q7L8N9; Q9NRD6; Q9Y4Q1


TRAF3-interacting protein 1, also known as Interleukin-13 receptor alpha 1-binding protein 1, plays a pivotal role in inhibiting IL13 signaling, crucial for suppressing IL13-induced STAT6 phosphorylation, transcriptional activity, and DNA-binding. It is instrumental in kidney development, epithelial morphogenesis, and microtubule cytoskeleton organization, acting as a negative regulator of microtubule stability through the control of MAP4 levels.

Therapeutic significance:

Linked to Senior-Loken syndrome 9, a renal-retinal disorder, TRAF3-interacting protein 1's involvement in disease pathways underscores its potential as a target for therapeutic intervention. Understanding its role could pave the way for novel treatments for this syndrome.

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