AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for C-C motif chemokine 1

Available from Reaxense
Predicted by Alphafold

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.

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 employ our advanced, specialised process to create 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

P22362

UPID:

CCL1_HUMAN

Alternative names:

Small-inducible cytokine A1; T lymphocyte-secreted protein I-309

Alternative UPACC:

P22362; B2R5G9; Q2M309

Background:

C-C motif chemokine 1, also known as Small-inducible cytokine A1 and T lymphocyte-secreted protein I-309, plays a pivotal role in immune responses. Identified by its unique ability to be chemotactic for monocytes but not neutrophils, it specifically binds to the CCR8 receptor. This specificity underscores its unique position in the chemokine family, orchestrating cellular movement and immune cell targeting.

Therapeutic significance:

Understanding the role of C-C motif chemokine 1 could open doors to potential therapeutic strategies. Its precise function in immune cell regulation and its exclusive interaction with CCR8 present intriguing possibilities for targeted therapy in immune-related disorders.

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