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 Phosphatidylinositol 4-kinase type 2-beta 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 Phosphatidylinositol 4-kinase type 2-beta 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 Phosphatidylinositol 4-kinase type 2-beta, 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 Phosphatidylinositol 4-kinase type 2-beta. 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 Phosphatidylinositol 4-kinase type 2-beta. 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 Phosphatidylinositol 4-kinase type 2-beta 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.
Phosphatidylinositol 4-kinase type 2-beta
partner:
Reaxense
upacc:
Q8TCG2
UPID:
P4K2B_HUMAN
Alternative names:
Phosphatidylinositol 4-kinase type II-beta
Alternative UPACC:
Q8TCG2; Q9NUW2
Background:
Phosphatidylinositol 4-kinase type 2-beta, also known as Phosphatidylinositol 4-kinase type II-beta, plays a pivotal role in cellular processes by contributing to the overall phosphatidylinositol 4-kinase activity. This enzyme is crucial in the phosphorylation of phosphatidylinositol to phosphatidylinositol 4-phosphate (PI4P), a key step in the biosynthesis of phosphatidylinositol 4,5-bisphosphate (PIP2). PIP2 serves as a precursor for inositol 1,4,5-trisphosphate (InsP3), a second messenger involved in various signaling pathways. The protein's activity is particularly significant in plasma membrane, endosomal, and Golgi compartments.
Therapeutic significance:
Understanding the role of Phosphatidylinositol 4-kinase type 2-beta could open doors to potential therapeutic strategies. Its involvement in the production of InsP3 in stimulated cells suggests a key role in the regulation of vesicular trafficking, highlighting its potential as a target in diseases where these pathways are disrupted.
