AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Mitogen-activated protein kinase kinase kinase 12

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

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.

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 includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

We use our state-of-the-art dedicated workflow for designing 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:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

Q12852

UPID:

M3K12_HUMAN

Alternative names:

Dual leucine zipper bearing kinase; Leucine-zipper protein kinase; MAPK-upstream kinase; Mixed lineage kinase

Alternative UPACC:

Q12852; B3KSS9; G3V1Y2; Q86VQ5; Q8WY25

Background:

Mitogen-activated protein kinase kinase kinase 12 (MAP3K12), also known as Dual leucine zipper bearing kinase, plays a crucial role in a non-canonical MAPK signaling pathway. It is activated by APOE, enhancing AP-1-mediated transcription of APP through a MAP kinase signal transduction pathway involving MAP2K7, MAPK1/ERK2, and MAPK3/ERK1. This protein may also serve as an activator of the JNK/SAPK pathway.

Therapeutic significance:

Understanding the role of Mitogen-activated protein kinase kinase kinase 12 could open doors to potential therapeutic strategies.

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