Focused On-demand Library for Atrial natriuretic peptide receptor 3

Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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 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 employ our advanced, specialised process to create targeted libraries.


 

Fig. 1. The screening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse biological functions.


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
Receptor.AI
 
UPACC
P17342

UPID:
ANPRC_HUMAN

ALTERNATIVE NAMES:
Atrial natriuretic peptide clearance receptor; Atrial natriuretic peptide receptor type C

ALTERNATIVE UPACC:
P17342; A2RRD1; B4DT84; E7EPG9

BACKGROUND:
The Atrial natriuretic peptide receptor 3, alternatively known as the Atrial natriuretic peptide clearance receptor, binds natriuretic peptides such as ANP, BNP, and CNP with similar affinities. This receptor is pivotal in maintaining fluid balance, blood pressure regulation, and bone growth by modulating the availability of natriuretic peptides.

THERAPEUTIC SIGNIFICANCE:
Given its association with Boudin-Mortier syndrome, which involves skeletal and cardiovascular abnormalities, the study of ANPR-C could reveal novel therapeutic avenues. Understanding the role of Atrial natriuretic peptide receptor 3 could open doors to potential therapeutic strategies.

Looking for more information on this library or underlying technology? Fill out the form below and we will be in touch with all the details you need.


Page 8764 of 8789