AI-ACCELERATED DRUG DISCOVERY

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

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher activity, selectivity, and safety.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner Reaxense.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

We use our state-of-the-art dedicated workflow for designing focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide spectrum of 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

P48643

UPID:

TCPE_HUMAN

Alternative names:

CCT-epsilon

Alternative UPACC:

P48643; A8JZY8; A8K2X8; B4DYD8

Background:

T-complex protein 1 subunit epsilon (CCT-epsilon) is a crucial component of the chaperonin-containing T-complex (TRiC), a molecular chaperone complex that aids in protein folding upon ATP hydrolysis. It plays a pivotal role in telomere maintenance by mediating the folding of WRAP53/TCAB1 and is involved in ciliogenesis by assisting in the assembly of the BBSome complex. Additionally, it contributes to the folding of actin and tubulin.

Therapeutic significance:

CCT-epsilon's involvement in hereditary sensory neuropathy with spastic paraplegia underscores its potential as a target for therapeutic intervention. Understanding the role of CCT-epsilon could open doors to potential therapeutic strategies.

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