AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Probable cation-transporting ATPase 13A5

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior activity, selectivity and safety.

We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

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.

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

Reaxense

upacc

Q4VNC0

UPID:

AT135_HUMAN

Alternative names:

P5-ATPase isoform 5

Alternative UPACC:

Q4VNC0; Q6UWS4; Q6ZWL0

Background:

The Probable cation-transporting ATPase 13A5, also known as P5-ATPase isoform 5, plays a crucial role in cellular processes by maintaining ion gradients across membranes. This protein is pivotal for cellular homeostasis, energy conversion, and signal transduction, showcasing its importance in cellular physiology.

Therapeutic significance:

Understanding the role of Probable cation-transporting ATPase 13A5 could open doors to potential therapeutic strategies. Its critical function in ion transport and cellular homeostasis makes it a promising target for drug discovery, aiming to address a wide range of diseases.

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