AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for 3-ketoacyl-CoA thiolase, mitochondrial

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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 use our state-of-the-art dedicated workflow for designing focused libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize 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

P42765

UPID:

THIM_HUMAN

Alternative names:

Acetyl-CoA acetyltransferase; Acetyl-CoA acyltransferase; Acyl-CoA hydrolase, mitochondrial; Beta-ketothiolase; Mitochondrial 3-oxoacyl-CoA thiolase; T1

Alternative UPACC:

P42765; Q9BUT6

Background:

3-ketoacyl-CoA thiolase, mitochondrial, known by alternative names such as Acetyl-CoA acetyltransferase and Beta-ketothiolase, plays a crucial role in energy production from fats. It catalyzes the final step of the mitochondrial beta-oxidation pathway, breaking down fatty acids into acetyl-CoA. This enzyme is also involved in the production of ketone bodies and acetate, showcasing its versatility in metabolic processes.

Therapeutic significance:

Understanding the role of 3-ketoacyl-CoA thiolase, mitochondrial could open doors to potential therapeutic strategies. Its involvement in energy metabolism and apoptosis regulation highlights its potential as a target for metabolic disorders and cancer therapy.

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