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.


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 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 use our state-of-the-art dedicated workflow for designing focused libraries for enzymes.


 

Fig. 1. The screening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve activity and selectivity.


Our library stands out due to several important features:


  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.

  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.

  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.

  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.


PARTNER
Receptor.AI
 
UPACC
O15151

UPID:
MDM4_HUMAN

ALTERNATIVE NAMES:
Double minute 4 protein; Mdm2-like p53-binding protein; Protein Mdmx; p53-binding protein Mdm4

ALTERNATIVE UPACC:
O15151; Q2M2Y2; Q32SL2; Q6GS18; Q8IV83

BACKGROUND:
The Protein Mdm4, with alternative names such as Double minute 4 protein and Mdm2-like p53-binding protein, is a key regulator of the TP53 pathway. It prevents TP53- and TP73-mediated apoptosis and cell cycle arrest, highlighting its critical function in cellular homeostasis. By binding to the transcriptional activation domain of TP53, Mdm4 modulates its degradation and activity, underscoring its importance in the cellular response to stress.

THERAPEUTIC SIGNIFICANCE:
Protein Mdm4's association with Bone marrow failure syndrome 6, a disorder marked by bone marrow hypoplasia and cancer predisposition, underscores its therapeutic potential. Exploring the mechanisms by which Mdm4 influences TP53 regulation could unveil new avenues for treating diseases linked to aberrant cell cycle control and apoptosis.

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