AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Harmonin

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.

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.

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.

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

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse biological functions.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

Q9Y6N9

UPID:

USH1C_HUMAN

Alternative names:

Antigen NY-CO-38/NY-CO-37; Autoimmune enteropathy-related antigen AIE-75; Protein PDZ-73; Renal carcinoma antigen NY-REN-3; Usher syndrome type-1C protein

Alternative UPACC:

Q9Y6N9; A8K423; Q7RTU8; Q96B29; Q9UM04; Q9UM17; Q9UPC3

Background:

Harmonin, encoded by the gene with the accession number Q9Y6N9, serves as an anchoring/scaffolding protein crucial for mechanotransduction in cochlear hair cells. It is part of a network including USH1C, USH1G, CDH23, and MYO7A, essential for the development and maintenance of cochlear hair cell bundles. Additionally, as a component of the intermicrovillar adhesion complex, it regulates microvilli organization in brush border cells.

Therapeutic significance:

Harmonin's involvement in Usher syndrome 1C and autosomal recessive deafness 18A highlights its therapeutic potential. Understanding the role of Harmonin could open doors to potential therapeutic strategies for these conditions, emphasizing the importance of targeted research in uncovering novel treatments.

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