Focused On-demand Libraries - Receptor.AI 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.


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


In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.


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


 

Fig. 1. The screening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve activity and selectivity.


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
Q9HAZ1

UPID:
CLK4_HUMAN

ALTERNATIVE NAMES:
CDC-like kinase 4

ALTERNATIVE UPACC:
Q9HAZ1

BACKGROUND:
The Dual specificity protein kinase CLK4, alternatively named CDC-like kinase 4, is a crucial enzyme for phosphorylating serine- and arginine-rich proteins within the spliceosomal complex. This activity is essential for the control of RNA splicing, impacting the alternative splicing of significant genes such as MAPT/TAU and F3 in endothelial cells. CLK4's role underscores its importance in the intricate network of regulatory mechanisms governing gene expression at the post-transcriptional level.

THERAPEUTIC SIGNIFICANCE:
The exploration of Dual specificity protein kinase CLK4's function offers a promising avenue for the development of novel therapeutic approaches. Given its key role in modulating RNA splicing and gene expression, targeting CLK4 could provide innovative treatments for diseases linked to splicing anomalies.

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