AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Cyclin-dependent kinase 19

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

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.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner Reaxense.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

We utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost activity and selectivity.

Our library stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.

partner

Reaxense

upacc

Q9BWU1

UPID:

CDK19_HUMAN

Alternative names:

CDC2-related protein kinase 6; Cell division cycle 2-like protein kinase 6; Cell division protein kinase 19; Cyclin-dependent kinase 11; Death-preventing kinase

Alternative UPACC:

Q9BWU1; Q5JQZ7; Q5JR00; Q8TC78; Q9UPX2

Background:

Cyclin-dependent kinase 19 (CDK19) is known by several names, including CDC2-related protein kinase 6, Cell division cycle 2-like protein kinase 6, Cell division protein kinase 19, Cyclin-dependent kinase 11, and Death-preventing kinase. Its role is pivotal in cell cycle regulation and transcriptional control.

Therapeutic significance:

CDK19's mutation has been linked to Developmental and epileptic encephalopathy 87 (DEE87), a severe early-onset epilepsy with neurodevelopmental impairment. Understanding the role of CDK19 could open doors to potential therapeutic strategies for DEE87.

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