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-binding cassette sub-family C member 6 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-binding cassette sub-family C member 6 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-binding cassette sub-family C member 6, 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-binding cassette sub-family C member 6. 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-binding cassette sub-family C member 6. 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-binding cassette sub-family C member 6 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-binding cassette sub-family C member 6
partner:
Reaxense
upacc:
O95255
UPID:
MRP6_HUMAN
Alternative names:
Anthracycline resistance-associated protein; Multi-specific organic anion transporter E; Multidrug resistance-associated protein 6
Alternative UPACC:
O95255; A2RRN8; A8KIG6; A8Y988; E7ESW8; P78420; Q8TCY8; Q9UMZ7
Background:
ATP-binding cassette sub-family C member 6 (ABCC6) plays a pivotal role in cellular detoxification and transport processes. Known by alternative names such as Anthracycline resistance-associated protein and Multi-specific organic anion transporter E, ABCC6 is an ATP-dependent transporter that actively extrudes a variety of physiological compounds and xenobiotics from cells. It is involved in the regulation of organic compound transport across the blood-testis-barrier and plays a crucial role in inorganic pyrophosphate (PPi) homeostasis by mediating the release of nucleoside triphosphates into the circulation.
Therapeutic significance:
ABCC6's dysfunction is linked to Pseudoxanthoma elasticum, a multisystem disorder characterized by mineralized elastic fibers in various tissues, and Generalized arterial calcification of infancy, 2, marked by early-onset arterial calcification. Understanding the role of ABCC6 could open doors to potential therapeutic strategies for these conditions, highlighting its significance in drug discovery for cardiovascular and connective tissue disorders.
