Molecular Interaction Research Platform.
Platform-as-a-Service for Assisted Discovery of Molecular Interaction Networks.
Molecular interaction networks determine cellular function and form the foundation for the development of targeted therapies, personalized medicine, and advances in biotechnology. These networks include gene regulation, metabolism, cell signaling, and immune responses. Their analysis requires the integration of large volumes of scientific information dispersed across multiple repositories.
Our platform combines generative artificial intelligence and logical artificial intelligence to assist researchers in modeling molecular networks. The system automatically processes scientific literature and generates knowledge bases that experts can explore, validate, and refine to build network models specific to their research domain.
This architecture enables the identification of molecular interaction networks, the simulation of “what-if” scenarios before committing resources to costly experiments, the development of preliminary models that reduce risks in early research phases, and the adaptation of methodologies to new therapeutic domains. In addition, the platform ensures reproducibility through complete traceability of each result, allowing studies to be replicated with different parameters and facilitating systematic cross-validation of hypotheses.
Key Features
Transparent and Traceable Reasoning
Each molecular relationship includes specific scientific references and inference logic that can be verified by the researcher.
Automatic Source Integration
Directly connects with PubMed, NCBI, Protein Data Bank, and specialized repositories to keep models continuously updated.
Expert Process Control
Researchers define parameters, validate results, and refine models according to their specialized domain knowledge.
Experimental Hypothesis Generation
Identifies specific regulatory pathways and candidate subnetworks to guide laboratory experimental decisions.
Uses
Disease Mechanism Analysis
Develop network models to understand molecular interactions in complex pathologies such as cancer or neurological disorders.
Therapeutic Target Modeling
Build specific regulatory networks to identify candidate proteins and molecular pathways for drug development.
Therapeutic Strategy Design
Computationally explore transitions between pathological and healthy states to identify potential interventions.
Scientific Hypothesis Validation
Use predictive models to prioritize experiments and optimize experimental designs before laboratory implementation.
How to use the testbed?
Interested in using the BELLA II Bioinformatic testbed?
Take advantage of advanced and flexible environments to develop, test, and optimize applications and technologies that require High-Performance Computing. Make your inquiry.
More Information
- Customization and Adaptability
Researchers can define specific objects of interest (genes, proteins, drugs), adjust search parameters, and retrain models for particular domains. The platform allows manipulation of data from specialized repositories and the incorporation of domain-specific ontologies. - Service Model
We provide access to the platform, training in methodology and tool usage, and continuous technical support. Researchers retain full control over their data and generated models. - Validation and Use Cases
The platform has been used to model regulatory networks in COVID-19, identifying correlations such as ACE2-COVID-19 with full literature validation. Each result includes PubMed identifiers for independent verification.
