Focused On-demand Libraries - Receptor.AI 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 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 screening workflow of Receptor.AI

It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage 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.


PARTNER
Receptor.AI
 
UPACC
O60882

UPID:
MMP20_HUMAN

ALTERNATIVE NAMES:
Enamel metalloproteinase; Enamelysin

ALTERNATIVE UPACC:
O60882; Q6DKT9

BACKGROUND:
Matrix metalloproteinase-20, known for its alternative names Enamel metalloproteinase and Enamelysin, is essential for the degradation of amelogenin and cartilage extracellular matrix macromolecules. Its function is central to the development of tooth enamel and potentially influences cartilage integrity.

THERAPEUTIC SIGNIFICANCE:
Its dysfunction is associated with Amelogenesis imperfecta, hypomaturation type, 2A2, characterized by defective enamel formation. The exploration of Matrix metalloproteinase-20's role could lead to innovative treatments for enamel formation disorders and beyond.

Looking for more information on this library or underlying technology? Fill out the form below and we will be in touch with all the details you need.