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:
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.