Inflammation Molecular Interaction Simulation Network
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Solution Overview
Problem
Current simulations for inflammatory processes and drug development in the field of inflammation are lacking, with no available in silico models to facilitate complex molecular interaction analyses.
Innovation Solution
A system comprising a processing unit with a database of molecular interaction datasets and a computer program-based algorithm to generate network maps, allowing for the identification and visualization of molecular interactions involved in inflammation, enabling dynamic simulation of chronic inflammation processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If in silico models are developed to simulate complex molecular interactions in inflammation, then the ability to predict drug effects and therapy outcomes is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The system segments the complex molecular interaction network into discrete datasets organized in a structured database. Each dataset represents specific molecular interactions with defined characteristics, allowing the complex simulation problem to be divided into manageable computational units that can be processed independently and then integrated.
Solution Approach 2:
The patent introduces computer program-based algorithms as intermediaries that mediate between the raw molecular interaction data and the simulation outcomes. These algorithms process the complex data relationships, generate network maps, and enable prediction of drug effects without requiring direct complex computational modeling of all molecular interactions.
2Loss of information
If comprehensive molecular interaction data is collected and organized into network maps, then the analysis capability of inflammatory processes is improved, but the data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary organization of molecular interaction data into a structured database with predefined datasets and characteristics before simulation is needed. Network maps are pre-generated from the organized data, allowing rapid retrieval and analysis during actual simulation studies without requiring time-consuming data processing at that stage.
Solution Approach 2:
The patent creates simplified representations (network maps) that copy the essential features of complex molecular interaction networks. These map representations retain the critical information about molecular relationships while reducing the computational complexity required for analysis and simulation.
3Ease of operation
If datasets are grouped into data compartments based on identical data characteristics, then the ease of operation and data analysis is improved, but the device complexity increases
Solution Approach 1:
The database structure segments molecular interaction datasets into distinct data compartments based on identical data characteristics. This segmentation organizes the data into logical groups that are easier to query, analyze, and manipulate, with each compartment containing datasets sharing specific molecular interaction properties or biological functions.
Solution Approach 2:
The system uses data characteristics as parameters to automatically group and organize datasets into appropriate compartments. By changing the organizational parameter from flat storage to characteristic-based grouping, the system improves data accessibility and analysis efficiency while the underlying structure manages the complexity.
Data Source
AI summary
The present invention relates to the filed of simulation of molecular interactions for assessing diseases and disease therapies. In particular, it relates to a system for simulating molecular interactions involved in inflammation in a subject, said system comprising a processing unit comprising a database comprising a plurality of datasets each comprising at least an identifier for a molecule suspected to be involved in the pathological process, data on molecular interactions of the said molecule with one or more other molecule, and at least one data characteristic that is allocated to the dataset, wherein each dataset has at least one relation with another dataset in the database based on molecular interactions, wherein the datasets are grouped into data compartments comprising datasets having identical data characteristics, and wherein the data characteristics are indicative for the biological function of a molecule in inflammation, and an computer program-based algorithm implemented in the processing unit which generates a network map based on the plurality of datasets in the database and which allows for identifying nodes within network map based on predefined parameters, and a visualization unit which allows for determination of the molecular interactions in the identified nodes. Moreover, the present invention contemplates a method for simulating molecular interactions involved in inflammation in a subject as well as the use of the system of the invention for simulating molecular interactions involved in inflammation.