AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Glycine dehydrogenase (decarboxylating), mitochondrial

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved activity, selectivity, and safety.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate Reaxense.

The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

We employ our advanced, specialised process to create targeted libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve activity and selectivity.

Our library is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

P23378

UPID:

GCSP_HUMAN

Alternative names:

Glycine cleavage system P protein; Glycine decarboxylase; Glycine dehydrogenase (aminomethyl-transferring)

Alternative UPACC:

P23378; Q2M2F8

Background:

Glycine dehydrogenase (decarboxylating), mitochondrial, also known as Glycine cleavage system P protein, plays a pivotal role in the glycine cleavage system. It catalyzes the degradation of glycine, binding the alpha-amino group through its pyridoxal phosphate cofactor, facilitating CO(2) release and transfer of the methylamine moiety to the lipoamide cofactor of the H protein.

Therapeutic significance:

The protein is directly linked to Non-ketotic hyperglycinemia, an autosomal recessive disease characterized by severe neurological symptoms due to glycine accumulation. Understanding its mechanism offers a pathway to targeted treatments for this condition.

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