Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better activity, selectivity, and safety.


Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed 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 utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.


 

Fig. 1. The screening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.


Our library is unique due to several crucial aspects:


  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.

  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.

  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.

  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.


PARTNER
Receptor.AI
 
UPACC
Q8N543

UPID:
OGFD1_HUMAN

ALTERNATIVE NAMES:
2-oxoglutarate and iron-dependent oxygenase domain-containing protein 1; Termination and polyadenylation 1 homolog; uS12 prolyl 3-hydroxylase

ALTERNATIVE UPACC:
Q8N543; H3BUQ2; Q9H7U5; Q9H9J9; Q9HA87; Q9HCG0; Q9NVB6

BACKGROUND:
The enzyme Prolyl 3-hydroxylase OGFOD1, with alternative names including Termination and polyadenylation 1 homolog and uS12 prolyl 3-hydroxylase, is integral to the regulation of protein translation termination efficiency. By catalyzing the 3-hydroxylation of 'Pro-62' on RPS23, it ensures proper protein synthesis. OGFOD1's role extends to stress granule formation, indicating its importance in cellular adaptation to stress.

THERAPEUTIC SIGNIFICANCE:
Exploring the function of Prolyl 3-hydroxylase OGFOD1 holds promise for unveiling novel therapeutic avenues. Given its pivotal role in protein synthesis and cellular stress mechanisms, targeting OGFOD1 could lead to innovative treatments that harness its biological activities.

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