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 carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Reaxense helps in synthesizing and delivering these compounds.


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

It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage activity and selectivity.


Our library distinguishes itself through several key aspects:


  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.

  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.

  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.

  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.


PARTNER
Receptor.AI
 
UPACC
Q460N5

UPID:
PAR14_HUMAN

ALTERNATIVE NAMES:
ADP-ribosyltransferase diphtheria toxin-like 8; B aggressive lymphoma protein 2; Poly [ADP-ribose] polymerase 14

ALTERNATIVE UPACC:
Q460N5; B4E2H0; Q460N4; Q8J027; Q9H9X9; Q9NV60; Q9ULF2

BACKGROUND:
The enzyme Protein mono-ADP-ribosyltransferase PARP14, known for its roles in ADP-ribosylation, impacts immune regulation and cellular signaling. It uniquely catalyzes mono-ADP-ribosylation, differentiating it from other PARP family members. PARP14's activity on STAT1 and STAT6 modulates their activity, playing a pivotal role in the regulation of pro-inflammatory cytokines and transcriptional responses to immunological challenges.

THERAPEUTIC SIGNIFICANCE:
Exploring the functions of Protein mono-ADP-ribosyltransferase PARP14 offers promising avenues for therapeutic intervention. Its critical role in immune response modulation and cellular signaling pathways presents it as a valuable target for developing treatments for a range of immune-mediated conditions.

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