AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Anti-Muellerian hormone type-2 receptor

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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.

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 utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage activity and selectivity.

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

Q16671

UPID:

AMHR2_HUMAN

Alternative names:

Anti-Muellerian hormone type II receptor; MIS type II receptor

Alternative UPACC:

Q16671; A0AVE1; B9EGB7; E9PGD2; F8W1D2; Q13762; Q647K2

Background:

The Anti-Muellerian hormone type-2 receptor (AMHR2), also known as MIS type II receptor, plays a pivotal role in male sexual differentiation by mediating the effects of the Anti-Muellerian hormone. This receptor complex, upon ligand binding, activates a cascade involving type II and type I serine/threonine kinases, leading to the phosphorylation and activation of SMAD transcriptional regulators.

Therapeutic significance:

AMHR2's malfunction is linked to Persistent Muellerian duct syndrome 2, a condition characterized by the failure of Muellerian duct regression in males. This association underscores the receptor's critical role in male sexual development and highlights its potential as a target for therapeutic intervention in related disorders.

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