Focused On-demand Library for Large ribosomal subunit protein uL16

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.

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 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.

Several key aspects differentiate our library:

  • Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.
  • The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.
  • Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.
  • In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.







Alternative names:

60S ribosomal protein L10; Laminin receptor homolog; Protein QM; Ribosomal protein L10; Tumor suppressor QM

Alternative UPACC:

P27635; A3KQT0; D3DWW6; Q16470; Q2HXT7; Q53FH7; Q6FGN8; Q8TDA5


Large ribosomal subunit protein uL16, also known as 60S ribosomal protein L10, plays a crucial role in the formation of actively translating ribosomes. It is a component of the large ribosomal subunit, essential for protein synthesis and cellular function. This protein is also implicated in embryonic brain development, highlighting its significance in the central nervous system's growth and maturation.

Therapeutic significance:

Large ribosomal subunit protein uL16 has been linked to Autism, X-linked 5 and Intellectual developmental disorder, X-linked, syndromic 35, diseases characterized by developmental and intellectual challenges. Understanding the role of Large ribosomal subunit protein uL16 could open doors to potential therapeutic strategies, especially in targeting the underlying mechanisms of these disorders.

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