Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced activity, selectivity, and safety.


The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by 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.


 

Fig. 1. The screening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive 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
Receptor.AI
 
UPACC
Q9H6W3

UPID:
RIOX1_HUMAN

ALTERNATIVE NAMES:
60S ribosomal protein L8 histidine hydroxylase; Bifunctional lysine-specific demethylase and histidyl-hydroxylase NO66; Myc-associated protein with JmjC domain; Nucleolar protein 66; Ribosomal oxygenase NO66

ALTERNATIVE UPACC:
Q9H6W3; B4DT02

BACKGROUND:
The multifunctional Ribosomal oxygenase 1 plays a central role in epigenetic and ribosomal modifications, including the demethylation of histone H3 at 'Lys-4' and 'Lys-36' and the hydroxylation of ribosomal protein L8. Its activity is crucial for osteoblast differentiation and the regulation of protein interactions, highlighting its significance in cellular processes and gene expression.

THERAPEUTIC SIGNIFICANCE:
Exploring the functions of Ribosomal oxygenase 1 offers a promising avenue for the development of novel therapeutic approaches.

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