AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for CCR4-NOT transcription complex subunit 6-like

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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 our associate Reaxense.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

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

 Fig. 1. The sreening 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 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

Reaxense

upacc

Q96LI5

UPID:

CNO6L_HUMAN

Alternative names:

Carbon catabolite repressor protein 4 homolog B

Alternative UPACC:

Q96LI5; Q9UF92

Background:

CCR4-NOT transcription complex subunit 6-like, also known as Carbon catabolite repressor protein 4 homolog B, plays a pivotal role in mRNA degradation and regulation. It exhibits 3'-5' poly(A) exoribonuclease activity, crucial for synthetic poly(A) RNA substrate processing. As a key component of the CCR4-NOT complex, it is involved in bulk mRNA degradation, miRNA-mediated repression, and translational repression, impacting cell proliferation and survival.

Therapeutic significance:

Understanding the role of CCR4-NOT transcription complex subunit 6-like could open doors to potential therapeutic strategies.

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