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 Serine palmitoyltransferase 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 Serine palmitoyltransferase 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 Serine palmitoyltransferase 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 Serine palmitoyltransferase 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 Serine palmitoyltransferase 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 Serine palmitoyltransferase 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.
Serine palmitoyltransferase 1
partner:
Reaxense
upacc:
O15269
UPID:
SPTC1_HUMAN
Alternative names:
Long chain base biosynthesis protein 1; Serine-palmitoyl-CoA transferase 1
Alternative UPACC:
O15269; A8K681; Q5VWB4; Q96IX6
Background:
Serine palmitoyltransferase 1 (SPTLC1) plays a pivotal role in sphingolipid biosynthesis, catalyzing the initial step of this critical pathway. It forms a heterodimer with SPTLC2 or SPTLC3, determining substrate specificity. The SPTLC1-SPTLC2-SPTSSA complex prefers C16-CoA, while the SPTLC1-SPTLC3-SPTSSA variant slightly favors C14-CoA. Additionally, SPTLC1 is essential for adipocyte viability and metabolic balance.
Therapeutic significance:
SPTLC1's mutation leads to Neuropathy, hereditary sensory and autonomic, 1A (HSAN1A), characterized by sensory loss and autonomic dysfunction. Understanding SPTLC1's role could unveil new therapeutic strategies for HSAN1A, focusing on restoring sensory and autonomic functions.
