AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Post-GPI attachment to proteins factor 2

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.

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.

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.

Our top-notch dedicated system is used to design specialised libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse 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

Q9UHJ9

UPID:

PGAP2_HUMAN

Alternative names:

FGF receptor-activating protein 1

Alternative UPACC:

Q9UHJ9; E9PJG5; H7BXL9; Q6UC77; Q96G66; Q9UF01; Q9Y4N1

Background:

Post-GPI attachment to proteins factor 2, also known as FGF receptor-activating protein 1, plays a crucial role in the lipid remodeling steps of GPI-anchor maturation. This process is essential for the stable expression of GPI-anchored proteins on the cell surface, which are vital for various cellular functions.

Therapeutic significance:

The protein is linked to Hyperphosphatasia with impaired intellectual development syndrome 3, a disorder marked by intellectual disability and poor motor development. This association highlights the protein's potential as a target for therapeutic intervention in treating or managing this genetic condition.

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