AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Diacylglycerol kinase alpha

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.

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.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

We utilise our cutting-edge, exclusive workflow to develop focused 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.

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

P23743

UPID:

DGKA_HUMAN

Alternative names:

80 kDa diacylglycerol kinase; Diglyceride kinase alpha

Alternative UPACC:

P23743; O75481; O75482; O75483; O95217; Q3ZE25; Q8IZ56; Q8N5Q2

Background:

Diacylglycerol kinase alpha, known as an 80 kDa diacylglycerol kinase or Diglyceride kinase alpha, plays a pivotal role in cellular signaling by converting diacylglycerol (DAG) into phosphatidic acid (PA). This conversion regulates the balance between DAG and PA, two bioactive lipids with opposing functions in numerous biological processes. The enzyme's activity extends to the biosynthesis of complex lipids and the production of bioactive alkyl-lysophosphatidic acid.

Therapeutic significance:

Understanding the role of Diacylglycerol kinase alpha could open doors to potential therapeutic strategies.

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