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 Protein-glutamine gamma-glutamyltransferase 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 Protein-glutamine gamma-glutamyltransferase 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 Protein-glutamine gamma-glutamyltransferase 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 Protein-glutamine gamma-glutamyltransferase 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 Protein-glutamine gamma-glutamyltransferase 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 Protein-glutamine gamma-glutamyltransferase 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.
Protein-glutamine gamma-glutamyltransferase 2
partner:
Reaxense
upacc:
P21980
UPID:
TGM2_HUMAN
Alternative names:
Erythrocyte transglutaminase; Heart G alpha(h); Isopeptidase TGM2; Protein G alpha(h); Protein-glutamine deamidase TGM2; Protein-glutamine dopaminyltransferase TGM2; Protein-glutamine histaminyltransferase TGM2; Protein-glutamine noradrenalinyltransferase TGM2; Protein-glutamine serotonyltransferase TGM2; Tissue transglutaminase; Transglutaminase C; Transglutaminase H; Transglutaminase II; Transglutaminase-2
Alternative UPACC:
P21980; E1P5V9; Q16436; Q6B838; Q9BTN7; Q9H035; Q9UH35
Background:
Protein-glutamine gamma-glutamyltransferase 2, also known as Tissue transglutaminase, plays a pivotal role in various biological processes including bone development, angiogenesis, wound healing, and apoptosis. It catalyzes the formation of covalent bonds between peptide-bound glutamine and primary amines, leading to cross-linked or aminated proteins. This enzyme is involved in the cross-linking of extracellular matrix proteins, contributing to scaffold formation, and mediates post-translational modifications such as protein serotonylation and dopaminylation, impacting chromatin organization and neurotransmission.
Therapeutic significance:
Understanding the role of Protein-glutamine gamma-glutamyltransferase 2 could open doors to potential therapeutic strategies. Its involvement in critical cellular processes and ability to mediate various post-translational modifications make it a promising target for drug discovery, aiming to modulate its activity in diseases where these biological pathways are dysregulated.
