Explore the Potential with AI-Driven Innovation
Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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.
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.
Several key aspects differentiate our library:
partner
Reaxense
upacc
Q7L211
UPID:
ABHDD_HUMAN
Alternative names:
Alpha/beta hydrolase domain-containing protein 13
Alternative UPACC:
Q7L211; B3KWE7; Q8NBW1; Q96JX9
Background:
Protein ABHD13, also known as Alpha/beta hydrolase domain-containing protein 13, plays a crucial role in cellular processes through its enzymatic activities. The specific functions of ABHD13 remain to be fully elucidated, yet its presence across various tissues suggests a fundamental role in human biology.
Therapeutic significance:
Understanding the role of Protein ABHD13 could open doors to potential therapeutic strategies. Its involvement in essential cellular functions hints at the possibility of targeting ABHD13 for the treatment of diseases, once its disease associations are better understood.