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 Electrogenic aspartate/glutamate antiporter SLC25A13, mitochondrial 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 Electrogenic aspartate/glutamate antiporter SLC25A13, mitochondrial 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 Electrogenic aspartate/glutamate antiporter SLC25A13, mitochondrial, 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 Electrogenic aspartate/glutamate antiporter SLC25A13, mitochondrial. 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 Electrogenic aspartate/glutamate antiporter SLC25A13, mitochondrial. 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 Electrogenic aspartate/glutamate antiporter SLC25A13, mitochondrial 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.
Electrogenic aspartate/glutamate antiporter SLC25A13, mitochondrial
partner:
Reaxense
upacc:
Q9UJS0
UPID:
S2513_HUMAN
Alternative names:
Calcium-binding mitochondrial carrier protein Aralar2; Citrin; Mitochondrial aspartate glutamate carrier 2; Solute carrier family 25 member 13
Alternative UPACC:
Q9UJS0; O14566; O14575; Q546F9; Q9NZW1; Q9UNI7
Background:
The Electrogenic aspartate/glutamate antiporter SLC25A13, also known as Citrin and mitochondrial aspartate glutamate carrier 2, plays a crucial role in cellular metabolism. It facilitates the exchange of aspartate and glutamate across the mitochondrial membrane, integral to the malate-aspartate shuttle, a key process in cellular respiration and energy production.
Therapeutic significance:
Mutations in SLC25A13 are linked to Citrullinemia type 2 and neonatal intrahepatic cholestasis caused by citrin deficiency. These conditions underscore the protein's vital role in metabolic pathways and highlight the potential for targeted therapies to correct metabolic imbalances and prevent severe neuropsychiatric symptoms and liver dysfunction.
