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 S-phase kinase-associated protein 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 S-phase kinase-associated protein 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 S-phase kinase-associated protein 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 S-phase kinase-associated protein 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 S-phase kinase-associated protein 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 S-phase kinase-associated protein 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.
S-phase kinase-associated protein 1
partner:
Reaxense
upacc:
P63208
UPID:
SKP1_HUMAN
Alternative names:
Cyclin-A/CDK2-associated protein p19; Organ of Corti protein 2; Organ of Corti protein II; RNA polymerase II elongation factor-like protein; SIII; Transcription elongation factor B polypeptide 1-like; p19skp1
Alternative UPACC:
P63208; D3DQ97; D3DQ98; P34991; Q8TAY2
Background:
S-phase kinase-associated protein 1 (SKP1) is a pivotal component of the SCF ubiquitin ligase complex, crucial for protein ubiquitination influencing cell cycle, signal transduction, and transcription. It acts as an adapter, connecting the F-box protein to CUL1, with its functional specificity determined by the F-box protein. SKP1's involvement in the ubiquitination of key proteins like CTNNB1, NFKBIA, and cyclin E underscores its essential role in cellular processes such as Wnt signaling and G1/S transition.
Therapeutic significance:
Understanding the role of S-phase kinase-associated protein 1 could open doors to potential therapeutic strategies.
