Focused On-demand Library for Protein kinase C eta type

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved 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 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.

Our high-tech, dedicated method is applied to construct targeted 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

P24723

UPID:

KPCL_HUMAN

Alternative names:

PKC-L; nPKC-eta

Alternative UPACC:

P24723; B4DJN5; Q16246; Q8NE03

Background:

Protein kinase C eta type (PKC-L, nPKC-eta) is a serine/threonine-protein kinase involved in various cellular processes, including cell differentiation, tight junction integrity, and apoptosis prevention. It plays a pivotal role in keratinocyte growth arrest and differentiation by blocking epidermal growth factor receptor signaling. PKC-L is also crucial in pre-B cell receptor signaling, glioblastoma proliferation, and protecting cells from DNA damage-induced apoptosis.

Therapeutic significance:

Given its involvement in ischemic stroke and its role in regulating cell proliferation and apoptosis, targeting Protein kinase C eta type offers a promising avenue for therapeutic intervention in neurologic and oncologic disorders. Understanding the role of Protein kinase C eta type could open doors to potential therapeutic strategies.