Focused On-demand Library for Serine/threonine-protein kinase TAO3

Available from Reaxense
Predicted by Alphafold

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 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 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.

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:

Cutaneous T-cell lymphoma-associated antigen HD-CL-09; Dendritic cell-derived protein kinase; JNK/SAPK-inhibitory kinase; Jun kinase-inhibitory kinase; Kinase from chicken homolog A; Thousand and one amino acid protein 3

Alternative UPACC:

Q9H2K8; Q658N1; Q8IUM4; Q9HC79; Q9NZM9; Q9UHG7


Serine/threonine-protein kinase TAO3, also known as Cutaneous T-cell lymphoma-associated antigen HD-CL-09 and several other names, plays a pivotal role in cellular stress response pathways. It regulates the p38/MAPK14 and MAPK8/JNK cascades, activating the former in response to DNA damage and inhibiting the basal activity of the latter. This kinase is crucial for the G2/M transition DNA damage checkpoint, mediating phosphorylation of upstream kinases MAP2K3 and MAP2K6.

Therapeutic significance:

Understanding the role of Serine/threonine-protein kinase TAO3 could open doors to potential therapeutic strategies.

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