AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for (3R)-3-hydroxyacyl-CoA dehydrogenase

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.

We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

We employ our advanced, specialised process to create 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.

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

Q92506

UPID:

DHB8_HUMAN

Alternative names:

17-beta-hydroxysteroid dehydrogenase 8; 3-ketoacyl-[acyl-carrier-protein] reductase alpha subunit; 3-oxoacyl-[acyl-carrier-protein] reductase; Estradiol 17-beta-dehydrogenase 8; Protein Ke6; Short chain dehydrogenase/reductase family 30C member 1; Testosterone 17-beta-dehydrogenase 8

Alternative UPACC:

Q92506; A6NLX7; Q5STP7; Q9UIQ1

Background:

(3R)-3-hydroxyacyl-CoA dehydrogenase plays a pivotal role in mitochondrial fatty acid biosynthesis, acting as a scaffold for the assembly of the KAR complex. It catalyzes the NAD-dependent conversion of (3R)-3-hydroxyacyl-CoA into 3-ketoacyl-CoA, essential for energy production. This protein, also known as 17-beta-hydroxysteroid dehydrogenase 8, exhibits specificity towards estradiol, contributing to steroid hormone metabolism.

Therapeutic significance:

Understanding the role of (3R)-3-hydroxyacyl-CoA dehydrogenase could open doors to potential therapeutic strategies, particularly in disorders related to mitochondrial function and steroid hormone imbalance.

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