AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Zymogen granule protein 16 homolog B

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.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate 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.

partner

Reaxense

upacc

Q96DA0

UPID:

ZG16B_HUMAN

Alternative names:

-

Alternative UPACC:

Q96DA0; A6NIY1; B2R4F6; Q6UW28

Background:

Zymogen granule protein 16 homolog B, encoded by the gene with the UniProt accession number Q96DA0, is a protein of interest in the field of biochemistry and molecular biology. Its specific functions and interactions within cellular processes are subjects of ongoing research. This protein is believed to play a role in the formation or function of zymogen granules, which are specialized organelles involved in the storage and secretion of digestive enzymes.

Therapeutic significance:

Understanding the role of Zymogen granule protein 16 homolog B could open doors to potential therapeutic strategies. Its involvement in the fundamental processes of cellular storage and secretion mechanisms positions it as a potential target for the development of treatments for diseases related to these biological systems.

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