AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Mitogen-activated protein kinase kinase kinase 8

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior 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.

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

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

P41279

UPID:

M3K8_HUMAN

Alternative names:

Cancer Osaka thyroid oncogene; Proto-oncogene c-Cot; Serine/threonine-protein kinase cot; Tumor progression locus 2

Alternative UPACC:

P41279; A8K2Q5; D3DRX1; Q14275; Q5T855; Q9HC81

Background:

Mitogen-activated protein kinase kinase kinase 8, also known as Cancer Osaka thyroid oncogene, Proto-oncogene c-Cot, and Serine/threonine-protein kinase cot, plays a pivotal role in immune responses. It is essential for the activation of the MAPK/ERK pathway in macrophages, facilitating the production of TNF-alpha, a key pro-inflammatory cytokine. Additionally, it regulates T-helper cell differentiation, IFNG expression in T-cells, and mediates host resistance to bacterial infection by modulating type I interferon production. Its involvement extends to activating the MAPK/ERK pathway in response to IL1 and TNF in various cells, including adipocytes, and it has a role in immunoglobulin production and cell cycle regulation.

Therapeutic significance:

Understanding the role of Mitogen-activated protein kinase kinase kinase 8 could open doors to potential therapeutic strategies.

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