AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Bifunctional arginine demethylase and lysyl-hydroxylase JMJD6

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better activity, selectivity, and safety.

We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner 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 use our state-of-the-art dedicated workflow for designing focused libraries for enzymes.

 Fig. 1. The sreening 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

Reaxense

upacc

Q6NYC1

UPID:

JMJD6_HUMAN

Alternative names:

Histone arginine demethylase JMJD6; JmjC domain-containing protein 6; Jumonji domain-containing protein 6; Lysyl-hydroxylase JMJD6; Peptide-lysine 5-dioxygenase JMJD6; Phosphatidylserine receptor

Alternative UPACC:

Q6NYC1; B3KMN8; B4DGX1; Q86VY0; Q8IUM5; Q9Y4E2

Background:

Bifunctional arginine demethylase and lysyl-hydroxylase JMJD6, also known as Histone arginine demethylase JMJD6, plays a pivotal role in RNA splicing, histone modification, and embryonic development. It exhibits unique enzymatic activities, including arginine demethylation and lysyl-hydroxylation, impacting gene expression and chromatin dynamics. Its ability to modify histones and other proteins underscores its significance in epigenetic regulation.

Therapeutic significance:

Understanding the role of Bifunctional arginine demethylase and lysyl-hydroxylase JMJD6 could open doors to potential therapeutic strategies. Its involvement in crucial biological processes such as RNA splicing and histone modification positions it as a key target for drug discovery efforts aimed at treating diseases with epigenetic underpinnings.

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