Focused On-demand Library for Fatty-acid amide hydrolase 2

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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 our partner 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.

We use our state-of-the-art dedicated workflow for designing focused libraries for enzymes.

 Fig. 1. The sreening 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.







Alternative names:

Amidase domain-containing protein; Anandamide amidohydrolase 2; Oleamide hydrolase 2

Alternative UPACC:

Q6GMR7; Q86VT2; Q96N98


Fatty-acid amide hydrolase 2, also known as Anandamide amidohydrolase 2 and Oleamide hydrolase 2, plays a crucial role in the hydrolysis of endogenous amidated lipids. These include sleep-inducing oleamide, the endocannabinoid anandamide, and other fatty amides, converting them into their corresponding fatty acids. This process is vital for regulating the signaling functions of these molecules, with a preference for monounsaturated substrates like anandamide.

Therapeutic significance:

Understanding the role of Fatty-acid amide hydrolase 2 could open doors to potential therapeutic strategies. Its involvement in the metabolism of bioactive lipid molecules positions it as a key target for modulating physiological processes related to sleep, pain, and inflammation.

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