Focused On-demand Library for Large ribosomal subunit protein mL49

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.

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.

Our top-notch dedicated system is used to design specialised 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

Q13405

UPID:

RM49_HUMAN

Alternative names:

39S ribosomal protein L49, mitochondrial; Neighbor of FAU; Protein NOF1

Alternative UPACC:

Q13405; B2R4G6

Background:

The Large ribosomal subunit protein mL49, also known as 39S ribosomal protein L49, mitochondrial, Neighbor of FAU, and Protein NOF1, plays a crucial role in the mitochondrial ribosome. Its primary function is to facilitate protein synthesis within the mitochondria, a process essential for cellular energy production and metabolic functions.

Therapeutic significance:

Understanding the role of Large ribosomal subunit protein mL49 could open doors to potential therapeutic strategies. Its pivotal role in mitochondrial function suggests that insights into its operation could lead to breakthroughs in treating diseases related to mitochondrial dysfunction.