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.
From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.
The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.
We utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.
Fig. 1. The sreening workflow of Receptor.AI
The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize activity and selectivity.
Our library distinguishes itself through several key aspects:
partner
Reaxense
upacc
P80192
UPID:
M3K9_HUMAN
Alternative names:
Mixed lineage kinase 1
Alternative UPACC:
P80192; A3KN85; Q0D2G7; Q6EH31; Q9H2N5
Background:
Mitogen-activated protein kinase kinase kinase 9, also known as Mixed lineage kinase 1, is a pivotal serine/threonine kinase in the MAP kinase signal transduction pathway. It orchestrates cellular responses to environmental changes by activating the MKK/JNK cascade, which in turn regulates stress responses and apoptosis through transcription factors such as JUN and GATA4.
Therapeutic significance:
Understanding the role of Mitogen-activated protein kinase kinase kinase 9 could open doors to potential therapeutic strategies.