AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for SET and MYND domain-containing protein 4

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 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.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best 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

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.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

Q8IYR2

UPID:

SMYD4_HUMAN

Alternative names:

-

Alternative UPACC:

Q8IYR2; Q8N1P2; Q8NAT0; Q96LV4; Q96PV2

Background:

SET and MYND domain-containing protein 4 plays a pivotal role in cardiac development, as evidenced by its critical functions highlighted in recent studies (PubMed:30110327). This protein showcases dual activities, serving as a methyltransferase and acting as a negative regulator of HDAC1, which underscores its epigenetic regulatory capabilities during the development of the heart.

Therapeutic significance:

Understanding the role of SET and MYND domain-containing protein 4 could open doors to potential therapeutic strategies. Its involvement in cardiac development and gene expression regulation presents a promising avenue for exploring novel interventions in heart-related disorders.

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