Focused On-demand Library for Endoplasmic reticulum membrane adapter protein XK

Available from Reaxense
Predicted by Alphafold

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.

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.

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 utilise our cutting-edge, exclusive workflow to develop 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.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.







Alternative names:

Kell complex 37 kDa component; Kx antigen; Membrane transport protein XK; XK-related protein 1

Alternative UPACC:

P51811; Q4TTN6; Q8IUK6; Q9UC77


The Endoplasmic Reticulum membrane adapter protein XK, alternatively known as Kell complex 37 kDa component, Kx antigen, Membrane transport protein XK, or XK-related protein 1, plays a pivotal role in cellular function. It is instrumental in recruiting the lipid transfer protein VPS13A from lipid droplets to the endoplasmic reticulum (ER) membrane, a process essential for maintaining cellular lipid balance and membrane composition.

Therapeutic significance:

McLeod syndrome, a multisystem disorder characterized by a variety of symptoms including acanthocytosis, compensated hemolysis, and severe neurological disorders, is directly linked to mutations affecting the XK gene. Understanding the role of Endoplasmic Reticulum membrane adapter protein XK could open doors to potential therapeutic strategies for treating or managing McLeod syndrome, highlighting its significance in medical research.

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