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 Suppressor of cytokine 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 Suppressor of cytokine 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 Suppressor of cytokine 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 Suppressor of cytokine 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 Suppressor of cytokine 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 Suppressor of cytokine 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.
Suppressor of cytokine signaling 1
partner:
Reaxense
upacc:
O15524
UPID:
SOCS1_HUMAN
Alternative names:
JAK-binding protein; STAT-induced STAT inhibitor 1; Tec-interacting protein 3
Alternative UPACC:
O15524; O15097; Q9NSA7
Background:
Suppressor of cytokine signaling 1 (SOCS1), also known as JAK-binding protein or STAT-induced STAT inhibitor 1, plays a pivotal role in immune regulation. It acts as an essential negative regulator of type I and II interferon signaling, alongside other cytokines such as IL2, IL4, IL6, and leukemia inhibitory factor. SOCS1 achieves this by inhibiting the JAK/STAT signaling pathway, crucial for immune response modulation.
Therapeutic significance:
SOCS1's involvement in Autoinflammatory syndrome, familial, with or without immunodeficiency, underscores its therapeutic potential. This disease, characterized by autoimmune cytopenia, hemolytic anemia, and other autoimmune disorders, highlights the critical role of SOCS1 in immune regulation. Targeting SOCS1 could offer novel therapeutic strategies for managing this autoinflammatory disorder and possibly other related autoimmune diseases.
