AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Phosphatidylinositol-glycan biosynthesis class W protein

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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.

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 utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost 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

Q7Z7B1

UPID:

PIGW_HUMAN

Alternative names:

-

Alternative UPACC:

Q7Z7B1; Q8N9G3

Background:

The Phosphatidylinositol-glycan biosynthesis class W protein, encoded by the gene with accession number Q7Z7B1, plays a crucial role in the transport of GPI-anchored proteins to the plasma membrane. It functions as a probable acetyltransferase, modifying the inositol ring of phosphatidylinositol during GPI-anchor biosynthesis. This modification, although not essential for mannosylation, is typically removed after GPIs attach to proteins.

Therapeutic significance:

Linked to Glycosylphosphatidylinositol biosynthesis defect 11, a neurologic disorder marked by developmental delay and seizures, understanding the role of Phosphatidylinositol-glycan biosynthesis class W protein could open doors to potential therapeutic strategies.

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