AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Carboxymethylenebutenolidase homolog

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.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated 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 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.

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

Q96DG6

UPID:

CMBL_HUMAN

Alternative names:

-

Alternative UPACC:

Q96DG6; D3DTC7; Q8TED6

Background:

The Carboxymethylenebutenolidase homolog, identified by the accession number Q96DG6, plays a pivotal role in drug metabolism. It functions as a cysteine hydrolase, facilitating the conversion of prodrugs like olmesartan medoxomil into their active forms, such as olmerstatan, in the liver and intestine. This protein is also capable of activating beta-lactam antibiotics, including faropenem medoxomil and lenampicillin.

Therapeutic significance:

Understanding the role of Carboxymethylenebutenolidase homolog could open doors to potential therapeutic strategies. Its involvement in the activation of certain prodrugs and antibiotics underscores its potential as a target for enhancing drug efficacy and developing novel treatment approaches.

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