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.


From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Reaxense aids in their synthesis and provision.


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.


Our high-tech, dedicated method is applied to construct targeted libraries.


 

Fig. 1. The screening 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
Receptor.AI
 
UPACC
Q8N1B3

UPID:
CCNQ_HUMAN

ALTERNATIVE NAMES:
CDK10-activating cyclin; Cyclin-M; Cyclin-related protein FAM58A

ALTERNATIVE UPACC:
Q8N1B3; Q2I380; Q330J9; Q96IU5; Q9BUU1

BACKGROUND:
The protein Cyclin-Q, with alternative names CDK10-activating cyclin, Cyclin-M, and Cyclin-related protein FAM58A, is essential for activating CDK10, a cyclin-dependent kinase. This activation plays a critical role in regulating the cell cycle, influencing cellular proliferation and development.

THERAPEUTIC SIGNIFICANCE:
Implicated in a syndrome with features such as anal, genital, renal anomalies, and syndactyly, Cyclin-Q's involvement in disease underscores the importance of its study. Exploring Cyclin-Q's functions and mechanisms may lead to novel therapeutic approaches for treating related developmental disorders.

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