AI-ACCELERATED DRUG DISCOVERY

Solute carrier family 22 member 12

Explore its Potential with AI-Driven Innovation
Predicted by Alphafold

Solute carrier family 22 member 12 - Focused Library Design

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 Solute carrier family 22 member 12 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 Solute carrier family 22 member 12 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 Solute carrier family 22 member 12, 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 Solute carrier family 22 member 12. 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 Solute carrier family 22 member 12. 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 Solute carrier family 22 member 12 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.

Solute carrier family 22 member 12

partner:

Reaxense

upacc:

Q96S37

UPID:

S22AC_HUMAN

Alternative names:

Organic anion transporter 4-like protein; Renal-specific transporter; Urate anion exchanger 1; Urate:anion antiporter SLC22A12

Alternative UPACC:

Q96S37; B7WPG1; G3XAN7; Q19PF7; Q19PF8; Q19PF9; Q19PG0; Q6UXW3; Q96DT2

Background:

Solute carrier family 22 member 12 (SLC22A12), also known as Urate anion exchanger 1, plays a pivotal role in urate homeostasis. It functions as an electroneutral antiporter, facilitating the exchange of urate with organic or inorganic anions across the renal proximal tubule cells. This process is crucial for the renal reabsorption of urate, thereby maintaining optimal blood levels of uric acid.

Therapeutic significance:

Mutations in SLC22A12 are linked to Hypouricemia renal 1, a condition characterized by impaired uric acid reabsorption, leading to high urinary urate excretion. This can result in acute renal failure, chronic renal dysfunction, and nephrolithiasis. Understanding the role of SLC22A12 could open doors to potential therapeutic strategies for managing urate-related disorders.

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