AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Meprin A subunit beta

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.

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.

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.

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

Q16820

UPID:

MEP1B_HUMAN

Alternative names:

Endopeptidase-2; Meprin B; N-benzoyl-L-tyrosyl-P-amino-benzoic acid hydrolase subunit beta; PABA peptide hydrolase; PPH beta

Alternative UPACC:

Q16820; B7ZM35; B9EGL6; Q670J1

Background:

Meprin A subunit beta, also known as Meprin B, is a membrane metallopeptidase crucial for shedding many membrane-bound proteins. It exhibits a strong preference for acidic amino acids at the P1' position, processing substrates like FGF19, VGFA, and IL1B. This protein plays a significant role in inflammation and tissue remodeling by degrading extracellular matrix components.

Therapeutic significance:

Understanding the role of Meprin A subunit beta could open doors to potential therapeutic strategies, especially in managing inflammation and facilitating tissue repair.

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