AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Protein myomaker

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved activity, selectivity, and safety.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

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

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse biological functions.

Our library stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.

partner

Reaxense

upacc

A6NI61

UPID:

MYMK_HUMAN

Alternative names:

Myoblast fusion maker; Transmembrane protein 226; Transmembrane protein 8C

Alternative UPACC:

A6NI61

Background:

Protein myomaker, also known as Transmembrane protein 226 or Myoblast fusion maker, plays a pivotal role in muscle development and regeneration. It facilitates myoblast fusion, a critical process for forming multi-nucleated muscle fibers, and is involved in muscle repair following injury by aiding the fusion of satellite cells with damaged myofibers.

Therapeutic significance:

Given its crucial role in muscle formation and repair, Protein myomaker's dysfunction is linked to Carey-Fineman-Ziter syndrome 1, a disorder marked by muscle weakness and developmental challenges. Understanding the role of Protein myomaker could open doors to potential therapeutic strategies for muscle-related diseases.

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