Focused On-demand Library for Myogenesis-regulating glycosidase

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior 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.

The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

We employ our advanced, specialised process to create targeted libraries for enzymes.

Fig. 1. The sreening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve activity and selectivity.

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

Q6NSJ0

UPID:

MYORG_HUMAN

Alternative names:

Uncharacterized family 31 glucosidase KIAA1161

Alternative UPACC:

Q6NSJ0; Q5T587; Q5T588; Q9ULQ9

Background:

The Myogenesis-regulating glycosidase, also known as Uncharacterized family 31 glucosidase KIAA1161, plays a pivotal role in muscle formation. It functions as a putative glycosidase and is instrumental in promoting myogenesis through the activation of AKT signaling, which is facilitated by the maturation and secretion of IGF2.

Therapeutic significance:

This protein is linked to Basal ganglia calcification, idiopathic, 7, autosomal recessive, a condition characterized by brain calcifications and a spectrum of neuropsychiatric symptoms. Understanding the role of Myogenesis-regulating glycosidase could open doors to potential therapeutic strategies for this and related disorders.