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 Zinc finger protein Gfi-1b 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 Zinc finger protein Gfi-1b 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 Zinc finger protein Gfi-1b, 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 Zinc finger protein Gfi-1b. 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 Zinc finger protein Gfi-1b. 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 Zinc finger protein Gfi-1b 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.
Zinc finger protein Gfi-1b
partner:
Reaxense
upacc:
Q5VTD9
UPID:
GFI1B_HUMAN
Alternative names:
Growth factor independent protein 1B; Potential regulator of CDKN1A translocated in CML
Alternative UPACC:
Q5VTD9; O95270; Q5VTD8; Q6FHZ2; Q6T888
Background:
Zinc finger protein Gfi-1b, also known as Growth factor independent protein 1B, plays a pivotal role in the development and differentiation of erythroid and megakaryocytic lineages. It functions as a transcriptional regulator, influencing the expression of genes involved in hematopoietic differentiation and blood cell development. Gfi-1b's ability to bind to gamma-satellite DNA and auto-repress its expression showcases its complex regulatory mechanisms.
Therapeutic significance:
Gfi-1b's involvement in Bleeding disorder, platelet-type, 17, highlights its clinical relevance. This disorder, characterized by platelet dysfunction and abnormal bleeding, underscores the therapeutic potential of targeting Gfi-1b. Understanding the role of Gfi-1b could open doors to potential therapeutic strategies for managing bleeding disorders and improving platelet function.
