Focused On-demand Library for Phospholipase A and acyltransferase 3

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 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 features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

We use our state-of-the-art dedicated workflow for designing focused libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve 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.







Alternative names:

Adipose-specific phospholipase A2; Group XVI phospholipase A1/A2; H-rev 107 protein homolog; HRAS-like suppressor 1; HRAS-like suppressor 3; HREV107-3; Renal carcinoma antigen NY-REN-65

Alternative UPACC:

P53816; B2R7Q4; B7XAK5; Q3SYI3; Q9HDD1


Phospholipase A and acyltransferase 3, known by alternative names such as Adipose-specific phospholipase A2 and Group XVI phospholipase A1/A2, exhibits a broad spectrum of enzymatic activities. It functions in catalyzing the calcium-independent release of fatty acids and transferring fatty acyl groups, playing a crucial role in cellular lipid metabolism. This protein is also pivotal in eye lens terminal differentiation, ensuring lens transparency for light passage.

Therapeutic significance:

Understanding the role of Phospholipase A and acyltransferase 3 could open doors to potential therapeutic strategies.

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