Focused On-demand Library for T-complex protein 1 subunit beta

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.

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 features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

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

P78371

UPID:

TCPB_HUMAN

Alternative names:

CCT-beta

Alternative UPACC:

P78371; A8K402; B5BTY7; B7Z243; B7Z7K4; B7ZAT2; Q14D36; Q6IAT3

Background:

T-complex protein 1 subunit beta (CCT-beta) is a crucial component of the chaperonin-containing T-complex (TRiC), a molecular chaperone complex vital for protein folding upon ATP hydrolysis. This complex is instrumental in the folding of WRAP53/TCAB1, influencing telomere maintenance, and plays a role in ciliogenesis by assisting in the assembly of the BBSome complex. Additionally, the TRiC complex is involved in the folding of key cellular structures such as actin and tubulin.

Therapeutic significance:

Understanding the role of T-complex protein 1 subunit beta could open doors to potential therapeutic strategies.