AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Protein cereblon

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved activity, selectivity, and safety.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate 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.

We employ our advanced, specialised process to create targeted libraries for protein-protein interfaces.

 Fig. 1. The sreening workflow of Receptor.AI

This process entails comprehensive molecular simulations of the target protein, individually and in complex with essential partner proteins, along with ensemble virtual screening that focuses on conformational mobility in both its free and complex states. Potential binding pockets are considered at the protein-protein interaction interface and in remote allosteric locations to address every conceivable mechanism of action.

Our library is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

Q96SW2

UPID:

CRBN_HUMAN

Alternative names:

-

Alternative UPACC:

Q96SW2; B2R6H4; C9IZA9; C9JAH6; Q6AI62; Q6NVZ0; Q9UHW4

Background:

Protein cereblon functions as a substrate recognition component of a DCX E3 protein ligase complex, crucial for the ubiquitination and proteasomal degradation of target proteins. It plays a pivotal role in limb outgrowth, cognitive functions, and TLR4 signaling by regulating various cellular mechanisms, including presynaptic glutamate release and anxiety-like behaviors.

Therapeutic significance:

Linked to Intellectual developmental disorder, autosomal recessive 2, cereblon's involvement in mild intellectual disability highlights its potential as a target for therapeutic intervention. Understanding cereblon's role could open doors to novel strategies for treating cognitive impairments.

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