AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Serine hydroxymethyltransferase, cytosolic

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 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.

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 stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.

partner

Reaxense

upacc

P34896

UPID:

GLYC_HUMAN

Alternative names:

Glycine hydroxymethyltransferase; Serine methylase

Alternative UPACC:

P34896; B4DPM9; D3DXD0; Q96HY0; Q9UMD1; Q9UMD2

Background:

Serine hydroxymethyltransferase, cytosolic, also known as Glycine hydroxymethyltransferase and Serine methylase, plays a pivotal role in the interconversion of serine and glycine. This enzyme, identified by the accession number P34896, is crucial for amino acid metabolism, impacting both cellular function and overall organismal health.

Therapeutic significance:

Understanding the role of Serine hydroxymethyltransferase, cytosolic could open doors to potential therapeutic strategies. Its critical function in amino acid metabolism suggests its involvement in metabolic disorders, offering a promising avenue for drug discovery and development.

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