AI-ACCELERATED DRUG DISCOVERY
Available from Reaxense
This protein is integrated into the Receptor.AI ecosystem as a prospective target with high therapeutic potential. We performed a comprehensive characterization of Mitogen-activated protein kinase kinase kinase 20 including:
1. LLM-powered literature research
Our custom-tailored LLM extracted and formalized all relevant information about the protein from a large set of structured and unstructured data sources and stored it in the form of a Knowledge Graph. This comprehensive analysis allowed us to gain insight into Mitogen-activated protein kinase kinase kinase 20 therapeutic significance, existing small molecule ligands, relevant off-targets, and protein-protein interactions.
Fig. 1. Preliminary target research workflow
2. AI-Driven Conformational Ensemble Generation
Starting from the initial protein structure, we employed advanced AI algorithms to predict alternative functional states of Mitogen-activated protein kinase kinase kinase 20, including large-scale conformational changes along "soft" collective coordinates. Through molecular simulations with AI-enhanced sampling and trajectory clustering, we explored the broad conformational space of the protein and identified its representative structures. Utilizing diffusion-based AI models and active learning AutoML, we generated a statistically robust ensemble of equilibrium protein conformations that capture the receptor's full dynamic behavior, providing a robust foundation for accurate structure-based drug design.
Fig. 2. AI-powered molecular dynamics simulations workflow
3. Binding pockets identification and characterization
We employed the AI-based pocket prediction module to discover orthosteric, allosteric, hidden, and cryptic binding pockets on the protein’s surface. Our technique integrates the LLM-driven literature search and structure-aware ensemble-based pocket detection algorithm that utilizes previously established protein dynamics. Tentative pockets are then subject to AI scoring and ranking with simultaneous detection of false positives. In the final step, the AI model assesses the druggability of each pocket enabling a comprehensive selection of the most promising pockets for further targeting.
Fig. 3. AI-based binding pocket detection workflow
4. AI-Powered Virtual Screening
Our ecosystem is equipped to perform AI-driven virtual screening on Mitogen-activated protein kinase kinase kinase 20. With access to a vast chemical space and cutting-edge AI docking algorithms, we can rapidly and reliably predict the most promising, novel, diverse, potent, and safe small molecule ligands of Mitogen-activated protein kinase kinase kinase 20. This approach allows us to achieve an excellent hit rate and to identify compounds ready for advanced lead discovery and optimization.
Fig. 4. The screening workflow of Receptor.AI
Receptor.AI, in partnership with Reaxense, developed a next-generation technology for on-demand focused library design to enable extensive target exploration.
The focused library for Mitogen-activated protein kinase kinase kinase 20 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.
Mitogen-activated protein kinase kinase kinase 20
partner:
Reaxense
upacc:
Q9NYL2
UPID:
M3K20_HUMAN
Alternative names:
Human cervical cancer suppressor gene 4 protein; Leucine zipper- and sterile alpha motif-containing kinase; MLK-like mitogen-activated protein triple kinase; Mitogen-activated protein kinase kinase kinase MLT; Mixed lineage kinase 7; Mixed lineage kinase-related kinase; Sterile alpha motif- and leucine zipper-containing kinase AZK
Alternative UPACC:
Q9NYL2; B3KPG2; Q53SX1; Q580W8; Q59GY5; Q86YW8; Q9HCC4; Q9HCC5; Q9HDD2; Q9NYE9
Background:
Mitogen-activated protein kinase kinase kinase 20 (MAP3K20) is a pivotal stress-activated component in protein kinase signal transduction cascades, crucial for programmed cell death in response to various stresses including ribosomal stress and ionizing radiation. It activates JNK and MAP kinase p38 pathways through phosphorylation, playing a key role in cellular responses to adrenergic stimulation and cardiac stress.
Therapeutic significance:
MAP3K20's involvement in split-foot malformation with mesoaxial polydactyly and centronuclear myopathy highlights its potential as a therapeutic target. Understanding the role of MAP3K20 could open doors to potential therapeutic strategies for these genetic disorders.
