AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Cytochrome P450 4Z1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate Reaxense.

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 for enzymes.

 Fig. 1. The sreening 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 distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

Q86W10

UPID:

CP4Z1_HUMAN

Alternative names:

CYPIVZ1; Laurate 7-monooxygenase

Alternative UPACC:

Q86W10; Q5VVE4

Background:

Cytochrome P450 4Z1, also known as CYPIVZ1 and Laurate 7-monooxygenase, plays a crucial role in the metabolism of fatty acids, catalyzing the in-chain oxidation and hydroxylation of carbon-hydrogen bonds. It predominantly hydroxylates lauric and myristic acids at specific positions and is involved in the epoxidation of polyunsaturated fatty acids, producing specific enantiomers of epoxyeicosatrienoic acid.

Therapeutic significance:

Understanding the role of Cytochrome P450 4Z1 could open doors to potential therapeutic strategies. Its involvement in fatty acid metabolism and the production of biologically active lipid mediators highlights its potential as a target for the development of treatments for metabolic disorders.

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