Consult an Expert
Trademark
Design Registration
Consult an Expert
Trademark
Copyright
Patent
Infringement
Design Registration
More
Consult an Expert
Consult an Expert
Trademark
Design Registration
Login
REVOLUTIONIZING BIOLOGICAL NETWORK ANALYSIS THROUGH GRAPH COLORING
Extensive patent search conducted by a registered patent agent
Patent search done by experts in under 48hrs
₹999
₹399
Abstract
Information
Inventors
Applicants
Specification
Documents
ORDINARY APPLICATION
Published
Filed on 20 November 2024
Abstract
Graph coloring· is a pivotal technique in graph theory, particularly valuable for modeling and analyzing biological networks. In this proposal, we advocate for the application of graph coloring algorithms to map protein-protein interaction networks, metabolic pathways, and genetic regulatory networks. This approach enhances the ability to identify and visualize clusters, pathways, and functional modules within complex biological systems. By assigning distinct colors to different functional modules, researchers gain a clearer and more intuitive understanding of the network's structure. This visual distinction facilitates the analysis of intricate interactions and dependencies among biological elements, potentially revealing patterns and anomalies that are crucial for disease diagnosis and the development of targeted therapies. Furthermore, this method supports the discovery of novel insights into cellular processes, offering a deeper understanding of the organizational principles underlying biological systems. By advancing both biological-research and therapeutic innovation, graph coloring represents a powerful tool for exploring and interpreting the complexity of biological networks.
Patent Information
Application ID | 202441089977 |
Invention Field | PHYSICS |
Date of Application | 20/11/2024 |
Publication Number | 48/2024 |
Inventors
Name | Address | Country | Nationality |
---|---|---|---|
Dr. Sharmila Mary Arul | SAVEETHA INSTITUTE OF MEDICAL AND TECHNICAL SCIENCES, SAVEETHA NAGAR, THANDALAM, CHENNAI, TAMIL NADU, INDIA-602105. | India | India |
Dr. RAMYA MOHAN | SAVEETHA INSTITUTE OF MEDICAL AND TECHNICAL SCIENCES, SAVEETHA NAGAR, THANDALAM, CHENNAI, TAMIL NADU, INDIA-602105. | India | India |
Applicants
Name | Address | Country | Nationality |
---|---|---|---|
SAVEETHA INSTITUTE OF MEDICAL AND TECHNICAL SCIENCES | SAVEETHA INSTITUTE OF MEDICAL AND TECHNICAL SCIENCES, SAVEETHA, CHENNAI, TAMIL NADU, INDIA-602105. | India | India |
Specification
PREAMBLE TO THE DESCRIPTION
THE FIELD OF INVENTION (PACKAGING INDUSTRY)
This invention applies graph coloring algorithms to optimize biological network analysis,
. offering innovative solutions for packaging data in the modeling of complex biological
systems.
BACKGROUND OF THE INVENTION
In recent years, the rapid growth of biological data has created a pressing need for effective
methods to analyze and intell'ret complex biological systems. Protein-protein interaction
networks, metabolic pathways, and genetic regulatory networks play a vital role in
understanding cellular processes and disease mechanisms. However, the sheer complexity
and volume of these networks often hinder the identification of key functional modules and
pathways. Traditional methods of network analysis can be cumbersome and fail to provide a
clear visual representation of these intricate systems.
Graph coloring, a well-established technique in graph theory, offers a promising solution to
these challenges. By applying graph coloring algorithms to biological networks, researchers
can assign distinct colors to different functional modules, clusters, or pathways. This visual
representation simplifies the identification and analysis of key components, allowing for
better interpretation of biological interactions. The application of graph coloring algorithms
provides a structured and intuitive way to differentiate between the various modules within
a network, revealing patterns and relationships that might otherwise go unnoticed.
This invention aims to harness the power of graph coloring to facilitate a deeper
understanding of biological networks. By clearly distinguishing functional modules,
researchers can gain insights into cellular processes, disease pathways, and potential
therapeutic targets. Furthermore, this method holds the potential to streamline the
identification ·of critical patterns or anomalies in biological data, contributing to
advancements in both biological research and medical treatments, ultimately revolutionizing
the analysis of biological systems .
SUMMARY OF THE INVENTION
This invention utilizes graph coloring to visually decode biological networks, advancing
research and therapeutic development with unprecedented clarity and precision.
COMPLETE SPECIFICATION
Specifications
• Graph Coloring Algorithm: The pnmary component of the proposed ·
method is the application of graph coloring algorithms. This technique assigns
distinct colors to different functional modules and pathways in biological
networks, enhancing the clarity and differentiation of complex interactions
and structures.
• Enhanced Visualization: To improve the visibility and analysis of biological
networks, the graph coloring method incorporates advanced visualization
techniques. This includes color-coding various clusters and pathways, which
aids in uncovering intricate relationships and dependencies within proteinprotein
interactions, metabolic pathways, and genetic regulatory networks.
• Pattern Detection: The effectiveness of the graph coloring approach is
influenced by its ability to reveal critical patterns and anomalies in biological
data. This caP,ability allows for the identification of unusual relationships and
potential therapeutic targets, contributing to a deeper understanding of
cellular processes and disease mechanisms.
• Research Application: The graph coloring technique is environmentally
friendly and adaptable for various research contexts. It facilitates a more
straightforward analysis of biological networks, supporting advancements in
both fundamental research and applied therapeutic developments.
• Methodological Integration: The success of the proposed method relies on
a well-balanced application of graph coloring algorithms and visualization
strategies. This ensures that the enhanced analysis and interpretation of
biological networks lead to meaningful insights and advancements m
biological research.
DESCRIPTION
The invention utilizes graph coloring algorithms to enhance the analysis of biological networks by
mapping out protein-protein interactions, metabolic pathways, and genetic regulatory systems. By
assigning unique colors to different functional modules, clusters, and pathways, this method provides
a clear visual representation of complex biological interactions. This improved visualization allows
researchers to easily identify and analyze key components, uncover patterns, and detect anomalies
within the networks. The application of graph coloring facilitates a deeper understanding of cellular
processes, dise~se mechanisms, and potential therapeutic targets. This approach not only streamlines
research workflows but also contributes to advancements in therapeutic development by offering
clearer insights into the organization and functionality of biological systems.
Examples of biological networks. (A) A protein-protein interaction (PPI) network shown in
Cytoscape. (B) A sequence similarity network visualized with Cytoscape. Each edge corresponds to
an alignment score. (C) A KEGG metabolic pathway. (D) A Reactome signal transduction
network. (E) The tree of life visualized by iTOL. (F) A gene expression network with up- (red) and
down-regulated genes (green). (G) A Savanna food web (credit: Siyavula Education). (H) A tagged
PubMed abstract showing abstract-based co-occurrences. (I) A STRING multi-edge PPI knowledge
network.
CLAIM
We Claim
I. Claim: The graph coloring method effectively enhances the analysis of biological networks by
clearly distinguishing functional modules, clusters, and pathways through color-coding,
improving visualization and interpretation of complex biological interactions.
2. Claim: The graph coloring technique is versatile and can be applied to various types of
biological networks, including protein-protein interactions, metabolic pathways, and genetic
regulatory systems, facilitating comprehensive network mapping and analysis.
3. Claim: The method provides a robust framework for detecting and analyzing intricate patterns
and anomalies within biological data, aiding in the identification of key functional components
and potential therapeutic targets.
4. Claim: The graph coloring approach supports advancements in biological research and
therapeutic development by offering a clear visual representation of network structures, which
enhances understanding and supports the discovery of novel insights.
5. Claim: The application of graph coloring algorithms is environmentally adaptable and
integrates seamlessly with existing research workflows, contributing to both fundamental
scientific understanding ·and practical applications in therapeutic development.
Documents
Name | Date |
---|---|
202441089977-Form 1-201124.pdf | 22/11/2024 |
202441089977-Form 18-201124.pdf | 22/11/2024 |
202441089977-Form 2(Title Page)-201124.pdf | 22/11/2024 |
202441089977-Form 3-201124.pdf | 22/11/2024 |
202441089977-Form 5-201124.pdf | 22/11/2024 |
202441089977-Form 9-201124.pdf | 22/11/2024 |
Talk To Experts
Calculators
Downloads
By continuing past this page, you agree to our Terms of Service,, Cookie Policy, Privacy Policy and Refund Policy © - Uber9 Business Process Services Private Limited. All rights reserved.
Uber9 Business Process Services Private Limited, CIN - U74900TN2014PTC098414, GSTIN - 33AABCU7650C1ZM, Registered Office Address - F-97, Newry Shreya Apartments Anna Nagar East, Chennai, Tamil Nadu 600102, India.
Please note that we are a facilitating platform enabling access to reliable professionals. We are not a law firm and do not provide legal services ourselves. The information on this website is for the purpose of knowledge only and should not be relied upon as legal advice or opinion.