AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Caspase recruitment domain-containing protein 19

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.

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.

The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

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

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

Q96LW7

UPID:

CAR19_HUMAN

Alternative names:

Bcl10-interacting CARD protein

Alternative UPACC:

Q96LW7; Q5BJH8; Q9BSY2

Background:

Caspase recruitment domain-containing protein 19, also known as Bcl10-interacting CARD protein, plays a crucial role in modulating immune responses. It functions by inhibiting the effects of BCL10-induced activation of NF-kappa-B, a key pathway in immune and inflammatory responses. This inhibition may occur through the prevention of BCL10 phosphorylation in a CARD-dependent manner, showcasing its regulatory role in cellular signaling pathways.

Therapeutic significance:

Understanding the role of Caspase recruitment domain-containing protein 19 could open doors to potential therapeutic strategies. Its involvement in key immune pathways suggests that targeting this protein could offer novel approaches to modulate immune responses in diseases.

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