AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Heat shock cognate 71 kDa protein

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 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.

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.

Our high-tech, dedicated method is applied to construct 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.

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

P11142

UPID:

HSP7C_HUMAN

Alternative names:

Heat shock 70 kDa protein 8; Lipopolysaccharide-associated protein 1

Alternative UPACC:

P11142; Q9H3R6

Background:

Heat shock cognate 71 kDa protein, also known as HSP70, is a molecular chaperone with critical roles in cellular stress response, protein folding, and proteome protection. It facilitates the correct folding of nascent polypeptides, re-folding of misfolded proteins, and targets proteins for degradation. HSP70's activity is regulated by ATP binding and hydrolysis, influenced by co-chaperones that modulate its substrate affinity and function.

Therapeutic significance:

Understanding the role of Heat shock cognate 71 kDa protein could open doors to potential therapeutic strategies.

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