AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for BBSome-interacting protein 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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.

The library features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

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

 Fig. 1. The sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across 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.

partner

Reaxense

upacc

A8MTZ0

UPID:

BBIP1_HUMAN

Alternative names:

BBSome-interacting protein of 10 kDa

Alternative UPACC:

A8MTZ0; E9PIY9; E9PM41; E9PRI7

Background:

The BBSome-interacting protein 1, alternatively known as BBSome-interacting protein of 10 kDa, plays a pivotal role in the BBSome complex, crucial for sorting specific membrane proteins to the primary cilia. It is instrumental in ciliogenesis and stabilizes the BBSome complex, while also regulating cytoplasmic microtubule stability and acetylation.

Therapeutic significance:

Given its critical function in the development of Bardet-Biedl syndrome 18, a disorder marked by severe pigmentary retinopathy, obesity, and other systemic manifestations, understanding the role of BBSome-interacting protein 1 could open doors to potential therapeutic strategies.

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