AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Probable palmitoyltransferase ZDHHC24

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.

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

Q6UX98

UPID:

ZDH24_HUMAN

Alternative names:

Zinc finger DHHC domain-containing protein 24

Alternative UPACC:

Q6UX98; Q6PEW7; Q9BSJ0

Background:

Probable palmitoyltransferase ZDHHC24, also known as Zinc finger DHHC domain-containing protein 24, plays a crucial role in cellular processes through its probable function in catalyzing the addition of palmitate onto various protein substrates. Palmitoylation is a critical post-translational modification that affects protein trafficking, stability, and function.

Therapeutic significance:

Understanding the role of Probable palmitoyltransferase ZDHHC24 could open doors to potential therapeutic strategies. Its involvement in palmitoylation suggests a fundamental role in cellular mechanisms, which, when dysregulated, could contribute to disease pathogenesis.

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