Focused On-demand Library for Ceramide kinase-like protein

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.

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 utilise our cutting-edge, exclusive workflow to develop focused libraries.

Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse biological functions.

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

Q49MI3

UPID:

CERKL_HUMAN

Alternative names:

Alternative UPACC:

Q49MI3; B2RPL2; B4DEY1; Q49MH9; Q49MI0; Q49MI1; Q49MI2; Q5DVJ2; Q5DVJ4; Q5DVJ5; Q6UZF6; Q6ZP59

Background:

Ceramide kinase-like protein, encoded by the gene with accession number Q49MI3, plays a crucial role in cellular processes. Despite lacking detectable ceramide-kinase activity, its overexpression is known to protect cells from apoptosis under oxidative stress conditions. This unique function highlights its potential in regulating cell survival mechanisms.

Therapeutic significance:

Linked to Retinitis pigmentosa 26, a retinal dystrophy characterized by loss of vision and pigment deposits in the retina, Ceramide kinase-like protein's involvement suggests a promising target for therapeutic intervention. Understanding its role could pave the way for novel treatments for this debilitating condition.