Explore the Potential with AI-Driven Innovation
The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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.
Fig. 1. The sreening workflow of Receptor.AI
By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast spectrum of biological functions.
Our library is unique due to several crucial aspects:
partner
Reaxense
upacc
Q5H9S7
UPID:
DCA17_HUMAN
Alternative names:
-
Alternative UPACC:
Q5H9S7; B2RTW5; Q53TN3; Q9H908
Background:
DDB1- and CUL4-associated factor 17 plays a crucial role in cellular processes as a potential substrate receptor for the CUL4-DDB1 E3 ubiquitin-protein ligase complex. This protein's involvement in the ubiquitination pathway suggests its significance in regulating protein stability and function.
Therapeutic significance:
Linked to Woodhouse-Sakati syndrome, a rare disorder with symptoms including hypogonadism, alopecia, diabetes mellitus, and intellectual disability, this protein's study could lead to novel therapeutic approaches for managing this complex condition.