AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Clarin-1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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 carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

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 top-notch dedicated system is used to design specialised libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide spectrum of biological functions.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

P58418

UPID:

CLRN1_HUMAN

Alternative names:

Usher syndrome type-3 protein

Alternative UPACC:

P58418; D3DNJ3; E1ACU9; Q8N6A9

Background:

Clarin-1, alternatively known as Usher syndrome type-3 protein, plays a pivotal role in the auditory and visual systems. It is instrumental in the formation of excitatory ribbon synapse junctions between hair cells and cochlear ganglion cells, as well as in the retina. This protein's unique function underscores its importance in sensory information processing.

Therapeutic significance:

Clarin-1 is directly implicated in Usher syndrome 3A and Retinitis pigmentosa 61, both of which are characterized by severe sensory impairments. Given its crucial role in these conditions, targeting Clarin-1 could lead to innovative treatments for these debilitating diseases, offering hope for improved quality of life for affected individuals.

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