Focused On-demand Library for Histone acetyltransferase KAT6B

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.

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.

Our top-notch dedicated system is used to design specialised libraries for enzymes.

 Fig. 1. The sreening 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 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.







Alternative names:

Histone acetyltransferase MOZ2; MOZ, YBF2/SAS3, SAS2 and TIP60 protein 4; Monocytic leukemia zinc finger protein-related factor

Alternative UPACC:

Q8WYB5; O15087; Q86Y05; Q8WU81; Q9UKW2; Q9UKW3; Q9UKX0


Histone acetyltransferase KAT6B, also known as Histone acetyltransferase MOZ2, plays a pivotal role in transcription regulation, both activating and repressing gene expression. It is essential for RUNX2-dependent transcriptional activation and is implicated in cerebral cortex development as part of the MOZ/MORF complex with histone H3 acetyltransferase activity.

Therapeutic significance:

KAT6B mutations are linked to Ohdo syndrome, SBBYS variant, and Genitopatellar syndrome, involving severe developmental and skeletal abnormalities. Understanding KAT6B's role could lead to targeted therapies for these conditions.

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