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 Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit gamma 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 Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit gamma 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 Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit gamma, 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 Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit gamma. 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 Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit gamma. 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 Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit gamma 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.
Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit gamma
partner:
Reaxense
upacc:
Q969Q6
UPID:
P2R3C_HUMAN
Alternative names:
Protein phosphatase subunit G5PR; Rhabdomyosarcoma antigen MU-RMS-40.6A/6C
Alternative UPACC:
Q969Q6; B4DEN7; D3DS97; D3DS98; Q5GJ55; Q5GJ56; Q6P4G2; Q86TZ3; Q9NWR9
Background:
Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit gamma, also known as Protein phosphatase subunit G5PR and Rhabdomyosarcoma antigen MU-RMS-40.6A/6C, plays a pivotal role in various cellular processes. It is involved in the regulation of MCM3AP phosphorylation, acts as a negative regulator of ABCB1 expression and function, and may contribute to the activation-induced cell death of B-cells. This protein's multifaceted role in biological systems makes it an intriguing subject for scientific inquiry.
Therapeutic significance:
Linked to Myoectodermal gonadal dysgenesis syndrome and Spermatogenic failure 36, Serine/threonine-protein phosphatase 2A regulatory subunit B'' subunit gamma's involvement in these diseases highlights its potential as a target for therapeutic intervention. Understanding the role of this protein could open doors to potential therapeutic strategies, offering hope for patients suffering from these conditions.
