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 Regulator of G-protein signaling 1 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 Regulator of G-protein signaling 1 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 Regulator of G-protein signaling 1, 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 Regulator of G-protein signaling 1. 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 Regulator of G-protein signaling 1. 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 Regulator of G-protein signaling 1 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.
Regulator of G-protein signaling 1
partner:
Reaxense
upacc:
Q08116
UPID:
RGS1_HUMAN
Alternative names:
B-cell activation protein BL34; Early response protein 1R20
Alternative UPACC:
Q08116; B2RDM9; B4DZY0; Q07918; Q9H1W2
Background:
Regulator of G-protein signaling 1 (RGS1), also known as B-cell activation protein BL34 and Early response protein 1R20, plays a crucial role in modulating G protein-coupled receptor signaling pathways. It achieves this by enhancing the GTPase activity of G protein alpha subunits, leading them to their inactive GDP-bound form, thus inhibiting signal transduction. This regulatory mechanism is vital in various cellular processes, including those downstream of the N-formylpeptide chemoattractant receptors and leukotriene receptors.
Therapeutic significance:
Understanding the role of Regulator of G-protein signaling 1 could open doors to potential therapeutic strategies. Its ability to inhibit B cell chemotaxis toward CXCL12 suggests its potential in modulating immune responses, making it a target of interest in the development of treatments for immune-related disorders.
