Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior 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 features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.


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


 

Fig. 1. The screening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost 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
P61077

UPID:
UB2D3_HUMAN

ALTERNATIVE NAMES:
(E3-independent) E2 ubiquitin-conjugating enzyme D3; E2 ubiquitin-conjugating enzyme D3; Ubiquitin carrier protein D3; Ubiquitin-conjugating enzyme E2(17)KB 3; Ubiquitin-conjugating enzyme E2-17 kDa 3; Ubiquitin-protein ligase D3

ALTERNATIVE UPACC:
P61077; A6NJ93; A6NJB1; A6NM99; P47986; Q6IB88; Q6NXS4; Q8N924

BACKGROUND:
The Ubiquitin-conjugating enzyme E2 D3, or UBE2D3, is integral to the ubiquitin-proteasome system, mediating the attachment of ubiquitin to substrates. This enzyme is crucial for the regulation of various cellular mechanisms, including the degradation of misfolded proteins, DNA damage response, and cell cycle control. UBE2D3's ability to initiate ubiquitination makes it a key player in the polyubiquitination of proteins such as NFKBIA for proteasomal degradation, and in the DNA damage tolerance pathway through the ubiquitination of PCNA. Its association with E3 ligases like BRCA1/BARD1 underscores its role in DNA repair processes.

THERAPEUTIC SIGNIFICANCE:
Understanding the role of Ubiquitin-conjugating enzyme E2 D3 could open doors to potential therapeutic strategies.

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