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.
The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner 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
The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.
Key features that set our library apart include:
partner
Reaxense
upacc
P49759
UPID:
CLK1_HUMAN
Alternative names:
CDC-like kinase 1
Alternative UPACC:
P49759; B4DFW7; Q0P694; Q8N5V8
Background:
Dual specificity protein kinase CLK1, also known as CDC-like kinase 1, plays a pivotal role in cellular processes by acting on both serine/threonine and tyrosine-containing substrates. It is instrumental in phosphorylating SR proteins of the spliceosomal complex, thereby regulating RNA splicing. Key substrates include SRSF1, SRSF3, and PTPN1, highlighting its critical function in post-transcriptional control.
Therapeutic significance:
Understanding the role of Dual specificity protein kinase CLK1 could open doors to potential therapeutic strategies. Its involvement in the alternative splicing of tissue factor pre-mRNA in endothelial cells underscores its potential impact on disease mechanisms and therapeutic interventions.