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 T-box transcription factor TBX1 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 T-box transcription factor TBX1 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 T-box transcription factor TBX1, 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 T-box transcription factor TBX1. 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 T-box transcription factor TBX1. 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 T-box transcription factor TBX1 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.
T-box transcription factor TBX1
partner:
Reaxense
upacc:
O43435
UPID:
TBX1_HUMAN
Alternative names:
Testis-specific T-box protein
Alternative UPACC:
O43435; C6G493; C6G494; O43436; Q96RJ2
Background:
T-box transcription factor TBX1, also known as Testis-specific T-box protein, is pivotal in cardiovascular development, particularly in pharyngeal arch segmentation during embryonic growth. It collaborates with NKX2-5 to regulate asymmetric cardiac morphogenesis through the promotion of PITX2 expression and is essential for craniofacial muscle development, thymus, and parathyroid glands formation from the third pharyngeal pouch. TBX1 binds to specific DNA sequences to execute its functions.
Therapeutic significance:
TBX1's mutation or dysfunction is linked to several congenital disorders, including DiGeorge syndrome, Velocardiofacial syndrome, Conotruncal heart malformations, and Tetralogy of Fallot. These conditions underscore the protein's critical role in heart and facial development. Understanding TBX1's mechanisms offers a promising avenue for developing targeted therapies for these complex syndromes.