Focused On-demand Library for Heat shock 70 kDa protein 1-like

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

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast spectrum of 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

P34931

UPID:

HS71L_HUMAN

Alternative names:

Heat shock 70 kDa protein 1-Hom

Alternative UPACC:

P34931; A6NNB0; B0UXW8; O75634; Q2HXR3; Q8NE72; Q96QC9; Q9UQM1

Background:

Heat shock 70 kDa protein 1-like (HSP70-1) functions as a molecular chaperone, playing a crucial role in cellular stress responses, protein folding, and degradation processes. It assists in the correct folding of nascent polypeptides, refolding of misfolded proteins, and the assembly or disassembly of protein complexes, facilitated by ATP hydrolysis cycles.

Therapeutic significance:

Understanding the role of Heat shock 70 kDa protein 1-like could open doors to potential therapeutic strategies, especially in diseases where protein misfolding and cellular stress responses are implicated.