Focused On-demand Library for X-linked retinitis pigmentosa GTPase regulator-interacting protein 1

Focused On-demand Libraries - Receptor.AI 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. Reaxense aids in their synthesis and provision.


The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.


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


 

Fig. 1. The screening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive spectrum of biological functions.


Key features that set our library apart include:


  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.

  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.

  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.

  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.


PARTNER
Receptor.AI
 
UPACC
Q96KN7

UPID:
RPGR1_HUMAN

ALTERNATIVE NAMES:
-

ALTERNATIVE UPACC:
Q96KN7; Q7Z2W6; Q8IXV5; Q96QA8; Q9HB94; Q9HB95; Q9HBK6; Q9NR40

BACKGROUND:
The protein is pivotal for photoreceptor cell function and survival, facilitating RPGR positioning and disk structure in the eye's outer segment. Its role is fundamental in maintaining the integrity and functionality of photoreceptor cells.

THERAPEUTIC SIGNIFICANCE:
Given its association with debilitating eye diseases such as Leber congenital amaurosis 6 and Cone-rod dystrophy 13, exploring the protein's mechanisms offers a promising avenue for developing targeted therapies, potentially revolutionizing treatment paradigms.

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