AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Tripartite motif-containing protein 60

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior 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.

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.

We utilise our cutting-edge, exclusive workflow to develop focused 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.

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

Q495X7

UPID:

TRI60_HUMAN

Alternative names:

RING finger protein 129; RING finger protein 33

Alternative UPACC:

Q495X7; Q8NA35

Background:

Tripartite motif-containing protein 60, also known as RING finger protein 129 or RING finger protein 33, plays a crucial role in cellular processes. It functions as an E3 SUMO-protein ligase, mediating the SUMOylation of TAB2. This action is pivotal in inhibiting the NF-kappa-B and MAPK pathways by suppressing the TRAF6/TAB2/TAK1 complex, which is essential for the regulation of immune and inflammatory responses.

Therapeutic significance:

Understanding the role of Tripartite motif-containing protein 60 could open doors to potential therapeutic strategies. Its involvement in key signaling pathways suggests its potential as a target in diseases where these pathways are dysregulated.

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