AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Corticosteroid-binding globulin

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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

We use our state-of-the-art dedicated workflow for designing 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

P08185

UPID:

CBG_HUMAN

Alternative names:

Serpin A6; Transcortin

Alternative UPACC:

P08185; A8K456; Q7Z2Q9

Background:

Corticosteroid-binding globulin (CBG), also known as Serpin A6 or Transcortin, is a pivotal protein in the blood, serving as the major transport vehicle for glucocorticoids and progestins across almost all vertebrate species. Its role is crucial in modulating the bioavailability of these hormones, thereby influencing stress responses, immune function, and metabolic processes.

Therapeutic significance:

The deficiency of CBG, a condition marked by altered corticosteroid-binding capacity, underscores the protein's clinical importance. This rare hereditary disorder, characterized by hypo/hypertension and muscle fatigue, highlights the therapeutic potential in targeting CBG for managing corticosteroid-related disorders.

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