Focused On-demand Library for Myogenic factor 5

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.

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.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

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.

Our library is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.







Alternative names:

Class C basic helix-loop-helix protein 2

Alternative UPACC:

P13349; Q6ISR9


Myogenic factor 5, also known as Class C basic helix-loop-helix protein 2, is a pivotal transcriptional activator in muscle differentiation. It promotes the transcription of muscle-specific genes by co-occupying the muscle-specific gene promoter core region alongside MYOG and MYOD1. This protein not only plays a crucial role in myogenesis but also induces fibroblasts to differentiate into myoblasts, showcasing its probable sequence-specific DNA-binding capability.

Therapeutic significance:

Myogenic factor 5 is linked to Ophthalmoplegia, external, with rib and vertebral anomalies, a disorder stemming from gene variants affecting this protein. Understanding the role of Myogenic factor 5 could open doors to potential therapeutic strategies for this autosomal recessive disorder, characterized by congenital nonprogressive external ophthalmoplegia, ptosis, scoliosis, torticollis, and vertebral and rib anomalies.

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