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 Transforming protein RhoA 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 Transforming protein RhoA 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 Transforming protein RhoA, 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 Transforming protein RhoA. 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 Transforming protein RhoA. 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 Transforming protein RhoA 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.
Transforming protein RhoA
partner:
Reaxense
upacc:
P61586
UPID:
RHOA_HUMAN
Alternative names:
Rho cDNA clone 12
Alternative UPACC:
P61586; P06749; Q53HM4; Q5U024; Q9UDJ0; Q9UEJ4
Background:
Transforming protein RhoA, also known as Rho cDNA clone 12, is a pivotal small GTPase cycling between active GTP-bound and inactive GDP-bound states. It plays a crucial role in cytoskeleton organization, cell migration, cell cycle, and cellular responses regulation through its interaction with various effector proteins. RhoA is instrumental in the assembly of focal adhesions, actin stress fibers, and in the formation of the myosin contractile ring during cytokinesis. It also contributes to keratinocyte cell-cell adhesion and influences cell migration and adhesion assembly through SPATA13-mediated regulation.
Therapeutic significance:
RhoA's involvement in ectodermal dysplasia with facial dysmorphism and acral, ocular, and brain anomalies highlights its potential as a therapeutic target. Understanding the role of Transforming protein RhoA could open doors to potential therapeutic strategies.
