AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Phosphatidylinositol glycan anchor biosynthesis class U protein

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced activity, selectivity, and safety.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner Reaxense.

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.

Our high-tech, dedicated method is applied to construct targeted libraries.

 Fig. 1. The sreening 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

Reaxense

upacc

Q9H490

UPID:

PIGU_HUMAN

Alternative names:

Cell division cycle protein 91-like 1; GPI transamidase component PIG-U

Alternative UPACC:

Q9H490; Q7Z489; Q8N2F2

Background:

Phosphatidylinositol glycan anchor biosynthesis class U protein, also known as PIG-U, plays a crucial role in the GPI transamidase complex. This complex is essential for the transfer of GPI to proteins, a process pivotal for membrane protein anchoring. PIG-U may also be involved in recognizing the GPI attachment signal or its lipid portion, highlighting its significance in cellular functions.

Therapeutic significance:

PIG-U is linked to a neurodevelopmental disorder characterized by developmental delay, intellectual disability, and seizures. Understanding the role of PIG-U could open doors to potential therapeutic strategies for this disorder, emphasizing the importance of research in this area.

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