Focused On-demand Library for Serine/threonine-protein kinase SBK2

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.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

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 comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage 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

P0C263

UPID:

SBK2_HUMAN

Alternative names:

SH3-binding domain kinase family member 2; Sugen kinase 69

Alternative UPACC:

P0C263

Background:

Serine/threonine-protein kinase SBK2, also known by its alternative names SH3-binding domain kinase family member 2 and Sugen kinase 69, plays a crucial role in cellular signaling pathways. This kinase is involved in the phosphorylation of serine and threonine amino acid residues, a key process in the activation and regulation of various proteins within the cell.

Therapeutic significance:

Understanding the role of Serine/threonine-protein kinase SBK2 could open doors to potential therapeutic strategies. Its involvement in critical signaling pathways suggests that modulating its activity could offer new avenues for treating diseases where these pathways are dysregulated.