AI-ACCELERATED DRUG DISCOVERY

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

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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 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 utilise our cutting-edge, exclusive workflow to develop focused libraries.

 Fig. 1. The sreening 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 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

Q96KN7

UPID:

RPGR1_HUMAN

Alternative names:

-

Alternative UPACC:

Q96KN7; Q7Z2W6; Q8IXV5; Q96QA8; Q9HB94; Q9HB95; Q9HBK6; Q9NR40

Background:

X-linked retinitis pigmentosa GTPase regulator-interacting protein 1 plays a crucial role in photoreceptor cell survival. It acts as a scaffolding protein, essential for the proper location of RPGR in photoreceptor cells, disk morphogenesis, and organization in the outer segment, ensuring photoreceptor cell longevity.

Therapeutic significance:

Linked to Leber congenital amaurosis 6 and Cone-rod dystrophy 13, this protein's understanding could pave the way for innovative treatments targeting these severe retinal dystrophies, offering hope for preserving vision.

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