Focused On-demand Library for Cytochrome P450 2C19

Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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 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.


Our top-notch dedicated system is used to design specialised libraries for enzymes.


 

Fig. 1. The screening workflow of Receptor.AI

It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage activity and selectivity.


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
P33261

UPID:
CP2CJ_HUMAN

ALTERNATIVE NAMES:
(R)-limonene 6-monooxygenase; (S)-limonene 6-monooxygenase; (S)-limonene 7-monooxygenase; CYPIIC17; CYPIIC19; Cytochrome P450-11A; Cytochrome P450-254C; Fenbendazole monooxygenase (4'-hydroxylating); Mephenytoin 4-hydroxylase

ALTERNATIVE UPACC:
P33261; P33259; Q8WZB1; Q8WZB2; Q9UCD4

BACKGROUND:
The enzyme Cytochrome P450 2C19 functions as a cytochrome P450 monooxygenase, crucial for the metabolism of polyunsaturated fatty acids and a variety of drugs such as omeprazole and propranolol. It uniquely catalyzes the hydroxylation and epoxidation of PUFAs and metabolizes limonene into carveol and perillyl alcohol, showcasing its broad substrate specificity.

THERAPEUTIC SIGNIFICANCE:
Exploring the functionalities of Cytochrome P450 2C19 offers a promising avenue for the development of novel therapeutic approaches, given its significant role in drug metabolism and PUFA processing.

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