Focused On-demand Library for Cx9C motif-containing protein 4

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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.

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.

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

Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast 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

P56277

UPID:

CMC4_HUMAN

Alternative names:

Mature T-cell proliferation 1 neighbor protein; Mature T-cell proliferation-1 type A; Protein p8 MTCP-1

Alternative UPACC:

P56277; Q5HYP9

Background:

Cx9C motif-containing protein 4, also known by its alternative names such as Mature T-cell proliferation 1 neighbor protein, Mature T-cell proliferation-1 type A, and Protein p8 MTCP-1, plays a crucial role in cellular processes. Its unique structure, characterized by the Cx9C motif, suggests a specialized function in the cellular environment.

Therapeutic significance:

Understanding the role of Cx9C motif-containing protein 4 could open doors to potential therapeutic strategies. Its involvement in cellular processes makes it a promising target for drug discovery, aiming to modulate its activity for therapeutic benefits.