AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for F-box/WD repeat-containing protein 11

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.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

We use our state-of-the-art dedicated workflow for designing focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide 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.

partner

Reaxense

upacc

Q9UKB1

UPID:

FBW1B_HUMAN

Alternative names:

F-box and WD repeats protein beta-TrCP2; F-box/WD repeat-containing protein 1B; Homologous to Slimb protein

Alternative UPACC:

Q9UKB1; B2RC98; Q9P2S8; Q9P2S9; Q9Y4C6

Background:

F-box/WD repeat-containing protein 11, also known as FBXW11, plays a crucial role in cellular processes by mediating the ubiquitination and subsequent proteasomal degradation of target proteins. It is involved in various signaling pathways, including Wnt signaling and NF-kappa-B activation, and regulates cell cycle, oxidative stress response, and viral infection defense mechanisms.

Therapeutic significance:

FBXW11's involvement in Neurodevelopmental, jaw, eye, and digital syndrome highlights its potential as a therapeutic target. Understanding the role of FBXW11 could open doors to potential therapeutic strategies for this syndrome and other related conditions.

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