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 Probable ubiquitin carboxyl-terminal hydrolase FAF-X 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 Probable ubiquitin carboxyl-terminal hydrolase FAF-X 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 Probable ubiquitin carboxyl-terminal hydrolase FAF-X, 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 Probable ubiquitin carboxyl-terminal hydrolase FAF-X. 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 Probable ubiquitin carboxyl-terminal hydrolase FAF-X. 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 Probable ubiquitin carboxyl-terminal hydrolase FAF-X 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.
Probable ubiquitin carboxyl-terminal hydrolase FAF-X
partner:
Reaxense
upacc:
Q93008
UPID:
USP9X_HUMAN
Alternative names:
Deubiquitinating enzyme FAF-X; Fat facets in mammals; Fat facets protein-related, X-linked; Ubiquitin thioesterase FAF-X; Ubiquitin-specific protease 9, X chromosome; Ubiquitin-specific-processing protease FAF-X
Alternative UPACC:
Q93008; O75550; Q8WWT3; Q8WX12
Background:
Probable ubiquitin carboxyl-terminal hydrolase FAF-X, also known as Ubiquitin-specific protease 9, X chromosome, plays a pivotal role in protein turnover and signal transduction through its deubiquitinating activities. It is involved in various cellular processes including DNA repair, TGF-beta/BMP signaling, mTORC2 complex assembly, chromosome segregation, neuronal cell migration, circadian rhythm regulation, and peroxisome import.
Therapeutic significance:
The protein's association with Intellectual developmental disorder, X-linked 99, and its syndromic form highlights its critical role in neurological development and function. Understanding the role of Probable ubiquitin carboxyl-terminal hydrolase FAF-X could open doors to potential therapeutic strategies for these intellectual disabilities.
