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 ATP synthase membrane subunit K, mitochondrial 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 ATP synthase membrane subunit K, mitochondrial 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 ATP synthase membrane subunit K, mitochondrial, 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 ATP synthase membrane subunit K, mitochondrial. 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 ATP synthase membrane subunit K, mitochondrial. 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 ATP synthase membrane subunit K, mitochondrial 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.
ATP synthase membrane subunit K, mitochondrial
partner:
Reaxense
upacc:
Q96IX5
UPID:
ATPMK_HUMAN
Alternative names:
ATP synthase membrane subunit DAPIT, mitochondrial; Diabetes-associated protein in insulin-sensitive tissues; HCV F-transactivated protein 2; Up-regulated during skeletal muscle growth protein 5
Alternative UPACC:
Q96IX5; B2R4N2; D3DR92
Background:
ATP synthase membrane subunit K, mitochondrial, also known as ATP5MK, plays a crucial role in cellular energy production. It is a component of the mitochondrial membrane ATP synthase (Complex V), which synthesizes ATP from ADP, utilizing a proton gradient created by the respiratory chain. ATP5MK is essential for the dimerization of the ATP synthase complex, thereby regulating ATP synthesis in mitochondria.
Therapeutic significance:
Mitochondrial complex V deficiency, nuclear type 6, a disorder linked to ATP5MK, highlights the protein's critical role in metabolic health. Understanding ATP5MK's function could pave the way for novel therapeutic approaches in treating mitochondrial disorders.
