AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Catechol O-methyltransferase

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed 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.

We utilise our cutting-edge, exclusive workflow to develop focused 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.

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

P21964

UPID:

COMT_HUMAN

Alternative names:

-

Alternative UPACC:

P21964; A8MPV9; Q6IB07; Q6ICE6; Q9BWC7

Background:

Catechol O-methyltransferase (COMT) plays a pivotal role in the metabolic inactivation of catecholamine neurotransmitters and hormones. By catalyzing the O-methylation of these molecules, COMT regulates their levels and activity in the brain and other tissues, impacting mood, cognition, and motor control.

Therapeutic significance:

Given its critical function in neurotransmitter metabolism, COMT is closely linked to neurological and psychiatric disorders, notably Schizophrenia. Understanding the role of Catechol O-methyltransferase could open doors to potential therapeutic strategies, especially for conditions marked by dopamine dysregulation.

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