Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior 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 includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.


We employ our advanced, specialised process to create targeted libraries for enzymes.


 

Fig. 1. The screening 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.


PARTNER
Receptor.AI
 
UPACC
P55000

UPID:
SLUR1_HUMAN

ALTERNATIVE NAMES:
ARS component B; ARS(component B)-81/S; Anti-neoplastic urinary protein

ALTERNATIVE UPACC:
P55000; Q53YJ6; Q6PUA6; Q92483

BACKGROUND:
The protein Secreted Ly-6/uPAR-related protein 1, known for its antitumor properties and role in skin cell differentiation, is crucial for maintaining skin health. It regulates keratinocyte layers, affects nicotinic acetylcholine receptor activity, and plays roles in T cell signaling and corneal immunomodulation. Its interaction with PLAU suggests a function in controlling cell proliferation and migration.

THERAPEUTIC SIGNIFICANCE:
Given its involvement in Mal de Meleda and potential antitumor activities, Secreted Ly-6/uPAR-related protein 1 represents a promising target for developing new therapeutic strategies for skin disorders and cancer.

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