Focused On-demand Library for Caspase recruitment domain-containing protein 10

Focused On-demand Libraries - Receptor.AI 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 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 use our state-of-the-art dedicated workflow for designing focused libraries.


 

Fig. 1. The screening 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.


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
Receptor.AI
 
UPACC
Q9BWT7

UPID:
CAR10_HUMAN

ALTERNATIVE NAMES:
CARD-containing MAGUK protein 3

ALTERNATIVE UPACC:
Q9BWT7; Q14CQ8; Q5TFG6; Q8NC81; Q9UGR5; Q9UGR6; Q9Y3H0

BACKGROUND:
The Caspase recruitment domain-containing protein 10, with alternative name CARD-containing MAGUK protein 3, is integral to the immune system's function. It facilitates the activation of NF-kappa-B, a key transcription factor in immune and inflammatory responses, through interactions with BCL10 or EGFR.

THERAPEUTIC SIGNIFICANCE:
Understanding the role of Caspase recruitment domain-containing protein 10 could open doors to potential therapeutic strategies, especially considering its involvement in Immunodeficiency 89 and autoimmunity. This disease's connection to the protein underscores the importance of targeted research in uncovering novel treatments.

Looking for more information on this library or underlying technology? Fill out the form below and we will be in touch with all the details you need.


Page 35 of 8789