AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Death-associated protein kinase 2

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior activity, selectivity and safety.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

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

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

Q9UIK4

UPID:

DAPK2_HUMAN

Alternative names:

DAP-kinase-related protein 1

Alternative UPACC:

Q9UIK4; E9JGM7; O75892; Q24JS1

Background:

Death-associated protein kinase 2 (DAP-kinase-related protein 1) is a calcium/calmodulin-dependent serine/threonine kinase. It plays a pivotal role in cellular signaling pathways, influencing cell survival, apoptosis, and autophagy. This kinase mediates both type I apoptotic and type II autophagic cell death signals, with its activity dictating the cellular response. Additionally, it acts as a mediator of anoikis, suppresses malignant epithelial cells' growth, and is involved in granulocytic maturation and motility.

Therapeutic significance:

Understanding the role of Death-associated protein kinase 2 could open doors to potential therapeutic strategies.

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