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 Toll/interleukin-1 receptor domain-containing adapter protein 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 Toll/interleukin-1 receptor domain-containing adapter protein 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 Toll/interleukin-1 receptor domain-containing adapter protein, 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 Toll/interleukin-1 receptor domain-containing adapter protein. 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 Toll/interleukin-1 receptor domain-containing adapter protein. 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 Toll/interleukin-1 receptor domain-containing adapter protein 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.
Toll/interleukin-1 receptor domain-containing adapter protein
partner:
Reaxense
upacc:
P58753
UPID:
TIRAP_HUMAN
Alternative names:
Adaptor protein Wyatt; MyD88 adapter-like protein
Alternative UPACC:
P58753; B3KW65; Q56UH9; Q56UI0; Q8N5E5
Background:
The Toll/interleukin-1 receptor domain-containing adapter protein, also known as Adaptor protein Wyatt or MyD88 adapter-like protein, plays a pivotal role in the innate immune response. It is an adapter in TLR2, TLR4, and RAGE signaling pathways, facilitating the activation of NF-kappa-B, MAPK1, MAPK3, and JNK. This leads to cytokine secretion and the inflammatory response, with a positive regulation of TNF-alpha and interleukin-6 production.
Therapeutic significance:
Understanding the role of Toll/interleukin-1 receptor domain-containing adapter protein could open doors to potential therapeutic strategies.