AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Platelet-activating factor acetylhydrolase IB subunit alpha2

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.

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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

Our high-tech, dedicated method is applied to construct targeted libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost 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

Reaxense

upacc

P68402

UPID:

PA1B2_HUMAN

Alternative names:

PAF acetylhydrolase 30 kDa subunit; PAF-AH subunit beta

Alternative UPACC:

P68402; A8DPS5; A8DPS6; A8DPS7; E9PEJ5; E9PLP3; O00687; Q29459; Q6IBR6

Background:

The Platelet-activating factor acetylhydrolase IB subunit alpha2, also known as PAF acetylhydrolase 30 kDa subunit or PAF-AH subunit beta, plays a pivotal role in modulating inflammatory responses. It achieves this by hydrolyzing the acetyl group at the sn-2 position of PAF and its analogs, thus regulating the action of PAF. This protein's activity and substrate specificity are influenced by its subunit composition, showcasing versatility in its function.

Therapeutic significance:

Understanding the role of Platelet-activating factor acetylhydrolase IB subunit alpha2 could open doors to potential therapeutic strategies. Its involvement in modulating inflammatory responses positions it as a key target for developing treatments aimed at inflammatory and possibly autoimmune diseases.

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