AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Adenylate cyclase type 4

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.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

The library features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

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

 Fig. 1. The sreening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

Q8NFM4

UPID:

ADCY4_HUMAN

Alternative names:

ATP pyrophosphate-lyase 4; Adenylate cyclase type IV; Adenylyl cyclase 4

Alternative UPACC:

Q8NFM4; B3KV74; D3DS75; Q17R40; Q6ZTM6; Q96ML7

Background:

Adenylate cyclase type 4, also known as ATP pyrophosphate-lyase 4 or Adenylyl cyclase 4, plays a pivotal role in cellular signaling by catalyzing the formation of cAMP in response to G-protein signaling. This enzyme is crucial for the transduction of signals from outside the cell to its interior, impacting various physiological processes.

Therapeutic significance:

Understanding the role of Adenylate cyclase type 4 could open doors to potential therapeutic strategies. Its central role in signal transduction pathways suggests its potential as a target for drug discovery, aiming to modulate cAMP levels in various disease contexts.

Looking for more information on this library or underlying technology? Fill out the form below and we'll be in touch with all the details you need.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.