Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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 top-notch dedicated system is used to design specialised libraries for enzymes.


 

Fig. 1. The screening workflow of Receptor.AI

The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize activity and selectivity.


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
Receptor.AI
 
UPACC
P23743

UPID:
DGKA_HUMAN

ALTERNATIVE NAMES:
80 kDa diacylglycerol kinase; Diglyceride kinase alpha

ALTERNATIVE UPACC:
P23743; O75481; O75482; O75483; O95217; Q3ZE25; Q8IZ56; Q8N5Q2

BACKGROUND:
Diacylglycerol kinase alpha, with alternative names 80 kDa diacylglycerol kinase and Diglyceride kinase alpha, is central to lipid signaling pathways. It converts diacylglycerol (DAG) to phosphatidic acid (PA), thereby regulating their levels and influencing various cellular processes. Its function is crucial in the biosynthesis of complex lipids and in generating alkyl-lysophosphatidic acid, another key bioactive lipid.

THERAPEUTIC SIGNIFICANCE:
Exploring the functions of Diacylglycerol kinase alpha offers a promising avenue for developing novel therapeutic approaches.

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