AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Adrenocorticotropic hormone receptor

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 use our state-of-the-art dedicated workflow for designing focused libraries for receptors.

 Fig. 1. The sreening workflow of Receptor.AI

It includes extensive molecular simulations of the receptor in its native membrane environment and the ensemble virtual screening accounting for its conformational mobility. In the case of dimeric or oligomeric receptors, the whole functional complex is modelled, and the tentative binding pockets are determined on and between the subunits to cover the whole spectrum of possible mechanisms of action.

Our library stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.

partner

Reaxense

upacc

Q01718

UPID:

ACTHR_HUMAN

Alternative names:

Adrenocorticotropin receptor; Melanocortin receptor 2

Alternative UPACC:

Q01718; A8K016; Q3MI45; Q504X6

Background:

The Adrenocorticotropic hormone receptor, also known as Melanocortin receptor 2, plays a pivotal role in the body's response to stress by mediating the effects of corticotropin (ACTH). This interaction triggers a cascade via G proteins (G(s)) that ultimately increases cAMP levels, essential for adrenal gland function.

Therapeutic significance:

Glucocorticoid deficiency 1, a disorder resulting from mutations affecting this receptor, underscores its critical role in cortisol production. Understanding the receptor's function could pave the way for innovative treatments for this and potentially other adrenal insufficiencies.

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