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 Pituitary homeobox 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 Pituitary homeobox 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 Pituitary homeobox 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 Pituitary homeobox 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 Pituitary homeobox 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 Pituitary homeobox 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.
Pituitary homeobox 2
partner:
Reaxense
upacc:
Q99697
UPID:
PITX2_HUMAN
Alternative names:
ALL1-responsive protein ARP1; Homeobox protein PITX2; Paired-like homeodomain transcription factor 2; RIEG bicoid-related homeobox transcription factor; Solurshin
Alternative UPACC:
Q99697; A8K6C6; B2RA02; B3KXS0; O60578; O60579; O60580; Q3KQX9; Q9BY17
Background:
Pituitary homeobox 2 (Pitx2) is a pivotal transcription factor, known by various names such as Homeobox protein PITX2 and RIEG bicoid-related homeobox transcription factor. It plays a crucial role in cell proliferation, morphogenesis, and the embryonic development of asymmetric organs. Its involvement in muscle progenitor expansion and the establishment of left-right asymmetry highlights its significance in developmental biology.
Therapeutic significance:
Pitx2's association with diseases like Axenfeld-Rieger syndrome 1, Anterior segment dysgenesis 4, and Ring dermoid of cornea underscores its clinical importance. These conditions, characterized by eye development abnormalities leading to vision impairment, spotlight Pitx2 as a target for therapeutic intervention. Understanding Pitx2's role could pave the way for novel treatments for these ocular disorders.
