Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved 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 effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.


We utilise our cutting-edge, exclusive workflow to develop focused libraries.


 

Fig. 1. The screening 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.


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
Q9BZI7

UPID:
REN3B_HUMAN

ALTERNATIVE NAMES:
Nonsense mRNA reducing factor 3B; Up-frameshift suppressor 3 homolog B; Up-frameshift suppressor 3 homolog on chromosome X

ALTERNATIVE UPACC:
Q9BZI7; D3DWI3; D3DWI4; Q0VAK8; Q9H1J0

BACKGROUND:
The protein Regulator of nonsense transcripts 3B, with alternative names such as Up-frameshift suppressor 3 homolog B, is integral to the cell's defense against aberrant mRNA through the nonsense-mediated decay pathway. By binding spliced mRNA and stimulating UPF1's ATPase and RNA helicase activities, it ensures the fidelity of gene expression.

THERAPEUTIC SIGNIFICANCE:
Given its critical role in Intellectual developmental disorder, X-linked, syndromic 14, exploring RNT3B's function could unlock new therapeutic avenues. The protein's ability to regulate mRNA stability and prevent the accumulation of faulty proteins offers a promising target for drug discovery efforts aimed at treating genetic disorders.

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