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 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.
Our top-notch dedicated system is used to design specialised 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.
Key features that set our library apart include:
partner
Reaxense
upacc
Q9NRA2
UPID:
S17A5_HUMAN
Alternative names:
H(+)/nitrate cotransporter; H(+)/sialic acid cotransporter; Membrane glycoprotein HP59; Solute carrier family 17 member 5; Vesicular excitatory amino acid transporter
Alternative UPACC:
Q9NRA2; Q5SZ76; Q8NBR5; Q9UGH0
Background:
Sialin, known for its roles as H(+)/nitrate and H(+)/sialic acid cotransporter, is pivotal in lysosomal function and central nervous system myelinogenesis. It facilitates the export of sialic acid and glucuronic acid from lysosomes, impacting oligodendrocyte differentiation and myelin formation.
Therapeutic significance:
Sialin's malfunction is linked to Salla disease and Infantile sialic acid storage disorder, both neurodegenerative conditions. Understanding Sialin's function could lead to breakthroughs in treating these lysosomal storage diseases.