Focused On-demand Library for Cysteine protease ATG4D

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved 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 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 utilise our cutting-edge, exclusive workflow to develop 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

Q86TL0

UPID:

ATG4D_HUMAN

Alternative names:

AUT-like 4 cysteine endopeptidase; Autophagy-related cysteine endopeptidase 4; Autophagy-related protein 4 homolog D

Alternative UPACC:

Q86TL0; Q969K0

Background:

Cysteine protease ATG4D, known for its pivotal role in autophagy, mediates the proteolytic activation and delipidation of ATG8 family proteins. This process is crucial for autophagy, a cellular mechanism involved in the degradation and recycling of cellular components. ATG4D specifically targets MAP1LC3 and GABARAPL2, revealing a C-terminal glycine essential for their conjugation and membrane insertion. Additionally, ATG4D's delipidation activity facilitates the recycling of ATG8 proteins, playing a significant role in both canonical and non-canonical autophagy pathways.

Therapeutic significance:

Understanding the role of Cysteine protease ATG4D could open doors to potential therapeutic strategies.