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OPTIMIZING PROTEIN INTERACTION MAPPING WITH VERTEX COLORING ALGORITHMS
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Abstract
Information
Inventors
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Specification
Documents
ORDINARY APPLICATION
Published
Filed on 26 November 2024
Abstract
Optimizing protein interaction mapping using vertex coloring algorithms represents a significant advancement in understanding complex biological systems. Protein-protein interaction networks are critical for elucidating cellular functions and identifying potential therapeutic targets. Traditional methods of analyzing these networks often struggle with visualizing and interpreting the intricate relationships between proteins due to the sheer complexity of the data. By applying vertex coloring algorithms, this approach assigns unique colors to individual proteins or nodes, facilitating the clear differentiation of distinct interaction clusters and functional modules. This enhanced visualization enables researchers to easily identify key interactions, uncover underlying patterns, and assess the significance of specific protein interactions within the network. The use of vertex coloring not only simplifies the interpretation of dense protein interaction networks but also improves the detection of critical nodes and edges. This methodological advancement supports more accurate and comprehensive analyses of protein functions and interactions, paving the way for deeper insights into cellular mechanisms and accelerating the discovery of novel drug targets and therapeutic strategies.
Patent Information
Application ID | 202441092019 |
Invention Field | PHYSICS |
Date of Application | 26/11/2024 |
Publication Number | 49/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Dr.SHARMILA MARY ARUL | Saveetha Institute Of Medical And Technical Sciences, Saveetha Nagar , Thandalam, Chennai-602105. | India | India |
Dr.RAMYA MOHAN | Saveetha Institute Of Medical And Technical Sciences, Saveetha Nagar , Thandalam, Chennai-602105. | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
SAVEETHA INSTITUTE OF MEDICAL AND TECHNICAL SCIENCES | Saveetha Institute Of Medical And Technical Sciences, Saveetha, Chennai-602105. | India | India |
Specification
PREAMBLE TO THE DESCRIPTION
THE FIELD OF INVENTION (PACKAGING INDUSTRY)
This invention applies vertex coloring algorithms to optimize protein interaction mapping, enhancing the clarity and analysis of complex biological networks, crucial for research and therapeutic development,
BACKGROUND OF THE INVENTION
In the realm of biological research, understanding protein-protein interactions is fundamental for deciphering cellular processes and developing targeted therapies. Protein interaction networks, which map the relationships between various proteins, are intricate and complex, presenting significant challenges for visualization and analysis. Traditional methods of interpreting these networks often fall short due to the high density of interactions and the difficulty in distinguishing between overlapping or closely connected elements.
Vertex coloring algorithms offer a promising solution to these challenges by providing a systematic approach to visualize and analyze protein interaction networks. By assigning distinct colors to different proteins or nodes in the network, vertex coloring enhances the clarity and differentiation of various interaction clusters and functional modules. This method simplifies the interpretation of complex networks, making it easier for researchers to identify key interactions, detect patterns, and assess the significance of specific proteins within the network.
The use of vertex coloring not only aids in the visualization of dense protein interaction networks but also facilitates the detection of critical nodes and edges that may be pivotal in cellular processes or disease mechanisms. This approach supports more accurate and comprehensive analyses, leading to a better understanding of protein functions and interactions.
Overall, the application of vertex coloring algorithms represents a significant advancement in the field of biological network analysis. It enhances the ability to interpret complex protein interaction networks, thereby accelerating research and development efforts in both basic biological sciences and therapeutic innovations.
SUMMARY OF THE INVENTION
This invention uses vertex coloring algorithms to enhance the clarity and analysis of protein interaction networks, improving research and therapeutic insights.
Specifications
• Vertex Coloring Algorithm: The core of this method is the application of vertex coloring algorithms to protein interaction networks. This approach assigns unique colors to proteins (nodes), enhancing the differentiation and visualization of interaction clusters and functional modules within the network.
• Improved Network Visualization: By employing vertex coloring, the visibility of protein-protein interactions is significantly improved. Color-coded
, . networks make it easier to identify distinct interaction clusters and pathways,
facilitating the analysis of complex relationships and the functional organization of proteins.
• Identification of Key Interactions: The vertex coloring technique enhances the ability to detect critical protein interactions and functional modules. This aids in uncovering important patterns and relationships that are crucial for understanding cellular processes and identifying potential therapeutic targets.
• Research Utility: The vertex coloring approach is highly applicable across various research contexts, including basic biological research and therapeutic development. It provides a clearer view of protein interactions, supporting advancements in understanding cellular mechanisms and drug discovery.
• Integration and Application: Successful implementation of vertex coloring algorithms requires a balanced approach to visualization and network analysis. This ensures that the technique delivers meaningful insights into protein interactions, advancing both research capabilities and therapeutic innovations.
DESCRIPTION
This invention introduces vertex coloring algorithms to enhance the analysis of protein interaction networks. By assigning unique colors to proteins, this approach provides a clearer visualization of protein interactions and functional modules. The color-coding of nodes simplifies the identification of distinct clusters and pathways, making complex networks more interpretable. This method facilitates the detection of key interactions and critical patterns within the network, leading to a deeper understanding of cellular processes and the identification of potential therapeutic targets. The application of vertex coloring supports more accurate research and contributes to advancements in drug discovery and therapeutic development by offering a refined view of protein interactions and functional organization.
We Claim
1. Claim: The vertex coloring algorithm significantly improves the clarity of protein interaction networks by assigning unique colors to proteins, enhancing the differentiation and visualization of interaction clusters and functional modules.
2. Claim: The vertex coloring technique is applicable to various types of protein interaction networks, facilitating detailed mapping and analysis of complex protein relationships across different biological contexts.
3. Claim: This method provides an effective framework for identifying critical protein interactions and key functional modules, aiding in the detection of important patterns and potential therapeutic targets within the network.
4. Claim: The application of vertex coloring enhances the interpretation of protein interaction data, supporting advancements in understanding cellular processes and accelerating the development of targeted therapeutic strategies.
5. Claim: The vertex coloring approach integrates seamlessly with existing research methodologies, offering a valuable tool for both fundamental biological research and applied therapeutic development. _____________________
Documents
Name | Date |
---|---|
202441092019-Form 1-261124.pdf | 29/11/2024 |
202441092019-Form 18-261124.pdf | 29/11/2024 |
202441092019-Form 2(Title Page)-261124.pdf | 29/11/2024 |
202441092019-Form 3-261124.pdf | 29/11/2024 |
202441092019-Form 5-261124.pdf | 29/11/2024 |
202441092019-Form 9-261124.pdf | 29/11/2024 |
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