Focused On-demand Library for Protein transport protein Sec23B

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced activity, selectivity, and safety.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner 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.

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

Q15437

UPID:

SC23B_HUMAN

Alternative names:

SEC23-related protein B

Alternative UPACC:

Q15437; D3DW33; Q503A9; Q5W183; Q9BS15; Q9BSI2; Q9H1D7

Background:

Protein transport protein Sec23B, also known as SEC23-related protein B, plays a pivotal role in cellular transport mechanisms. It is a crucial component of the coat protein complex II (COPII), which is instrumental in the formation of transport vesicles from the endoplasmic reticulum (ER). This process is essential for the physical deformation of the ER membrane into vesicles and the selection of cargo molecules for their transport to the Golgi complex.

Therapeutic significance:

Sec23B's involvement in Cowden syndrome 7 and congenital dyserythropoietic anemia type 2 highlights its potential as a target for therapeutic intervention. Understanding the role of Protein transport protein Sec23B could open doors to potential therapeutic strategies, particularly in addressing the underlying genetic variants that contribute to these diseases.