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 Bone marrow stromal antigen 2 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 Bone marrow stromal antigen 2 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 Bone marrow stromal antigen 2, 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 Bone marrow stromal antigen 2. 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 Bone marrow stromal antigen 2. 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 Bone marrow stromal antigen 2 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.
Bone marrow stromal antigen 2
partner:
Reaxense
upacc:
Q10589
UPID:
BST2_HUMAN
Alternative names:
HM1.24 antigen; Tetherin
Alternative UPACC:
Q10589; A8K4Y4; Q53G07
Background:
Bone marrow stromal antigen 2, also known as Tetherin or HM1.24 antigen, is a pivotal IFN-induced antiviral host restriction factor. It blocks the release of various mammalian enveloped viruses by tethering nascent virions to infected cell membranes. This protein targets a wide array of viruses across diverse families, including HIV, HCV, EBOV, and SARS-CoV. Tetherin's ability to inhibit cell surface proteolytic activity and stimulate signaling pathways underscores its multifunctional role in viral restriction and immune response modulation.
Therapeutic significance:
Understanding the role of Bone marrow stromal antigen 2 could open doors to potential therapeutic strategies. Its broad antiviral activity and involvement in immune regulation make it a promising target for developing treatments against a wide range of viral infections and possibly modulating immune responses.
