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 Cytoplasmic tRNA 2-thiolation protein 2 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 Cytoplasmic tRNA 2-thiolation protein 2 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 Cytoplasmic tRNA 2-thiolation protein 2, 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 Cytoplasmic tRNA 2-thiolation protein 2. 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 Cytoplasmic tRNA 2-thiolation protein 2. 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 Cytoplasmic tRNA 2-thiolation protein 2 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.
Cytoplasmic tRNA 2-thiolation protein 2
partner:
Reaxense
upacc:
Q2VPK5
UPID:
CTU2_HUMAN
Alternative names:
Cytosolic thiouridylase subunit 2
Alternative UPACC:
Q2VPK5; B2RXK0; Q0P511; Q66K78; Q6P4C8; Q86SV4
Background:
Cytoplasmic tRNA 2-thiolation protein 2, also known as Cytosolic thiouridylase subunit 2, plays a pivotal role in the 2-thiolation of mcm(5)S(2)U at tRNA wobble positions of tRNA(Lys), tRNA(Glu), and tRNA(Gln). This process is crucial for the accurate translation of the genetic code into proteins, ensuring cellular function and viability.
Therapeutic significance:
The protein's involvement in Microcephaly, facial dysmorphism, renal agenesis, and ambiguous genitalia syndrome highlights its critical role in human development and disease. Understanding the role of Cytoplasmic tRNA 2-thiolation protein 2 could open doors to potential therapeutic strategies for this and related disorders.
