Protein Interaction Network Analysis Service

Overview

Protein interaction network analysis organizes protein associations into visual networks, helping researchers interpret differential proteomics findings and explore relationships among candidate proteins.

MtoZ Biolabs maps candidate proteins to STRING to examine protein associations, supporting evidence, and confidence scores.

 

Figure 1. Evidence of Differential Expressed Protein Interactions from Different Sources

 

What Is Protein Interaction Network Analysis?

Protein interaction networks represent proteins as nodes and their relationships as edges. These relationships may reflect physical interactions, functional associations, or computational predictions.

STRING integrates experimental data, curated databases, text mining, and computational predictions to evaluate protein associations. Its combined confidence score reflects the evidence supporting an association, not directly measured binding affinity.

When Protein Interaction Network Analysis Is a Good Fit

1. Differential Proteomics Interpretation

Explore associations among differentially abundant proteins.

2. Interaction Evidence Analysis

Examine the evidence supporting protein associations.

3. Candidate Prioritization

Identify proteins for further investigation based on network relationships.

4. Biological Mechanism Research

Explore protein associations related to signaling, metabolism, and other biological processes.

5. Experimental Planning

Identify candidate relationships for follow-up validation.

Service at MtoZ Biolabs

MtoZ Biolabs provides STRING-based protein interaction network analysis through four core service components.

1. Protein Mapping and Network Construction

Map differential proteins or candidate lists to STRING and construct networks to explore protein associations.

2. Evidence and Confidence Analysis

Review available evidence sources and combined confidence scores to support network interpretation and filtering.

3. Network Visualization

Visualize protein associations through applicable evidence, confidence, and functional action views.

4. Network Results and Candidate Prioritization

Organize protein associations and available differential data to support candidate selection and follow-up research.

Projects requiring broader topology analysis, functional enrichment, module identification, or experimental interaction identification can be evaluated separately.

Analysis Workflow

1. Project Assessment

Confirm research objectives, organism, input data, and expected results.

2. Data Preparation

Standardize protein identifiers and map proteins to STRING.

3. Evidence Retrieval

Retrieve protein associations and supporting evidence.

4. Network Construction

Apply agreed filtering criteria and generate network visualizations.

5. Reporting

Compile network results and associated data into a project report.

Service Advantages

1. Evidence-Based Interpretation

Examine protein associations alongside available supporting evidence.

2. Research-Specific Analysis

Tailor mapping and filtering criteria to the organism, data, and research objectives.

3. Multiple Network Views

Visualize evidence, confidence, and functional action relationships.

4. One-Time Charge

Our pricing is transparent, with no hidden fees or additional costs.

Applications

1. Differential Proteomics

Explore relationships among proteins identified across experimental conditions.

2. Biological Mechanism Research

Investigate interconnected proteins and their potential biological relevance.

3. Candidate Protein Prioritization

Identify candidates for further functional studies or experimental validation.

4. Disease-Associated Protein Research

Explore associations among proteins differentially abundant in disease-related studies.

Sample Submission Suggestions

For standalone STRING-based analysis, protein lists or existing proteomics data are the primary inputs.

1. Protein List

Provide gene symbols or protein identifiers, such as UniProt IDs, and specify the organism.

2. Differential Results

Include fold changes, normalized abundance values, p-values, and adjusted p-values/FDR when available.

3. Experimental Information

Specify control and treatment groups and relevant conditions.

4. Existing Interaction Data

Provide protein pair lists and available evidence annotations, if applicable.

5. Raw LC-MS/MS Data

Supply raw files and experimental metadata if protein identification, quantification, or differential analysis is also required.

Deliverables

1. STRING-based protein interaction network visualizations.

2. Protein association tables with available evidence and confidence scores.

3. Filtered protein association datasets.

4. Applicable evidence, confidence, and functional action views.

5. Candidate protein association results.

6. PDF analysis report.

FAQs

Q1: Can analysis be performed using only a differential protein list?

Yes. A protein list with appropriate identifiers and organism information can be mapped to STRING. Quantitative data and experimental metadata provide additional context.

Q2: What does the STRING combined score represent?

It summarizes the evidence supporting a protein association. It does not represent directly measured binding affinity. Filtering thresholds depend on research objectives and desired network coverage.

Q3: Does a STRING network prove direct physical interactions?

No. STRING includes physical interaction evidence, functional associations, and computational predictions. Direct physical interactions require appropriate experimental evidence.

Contact Us

Have a differential protein list or proteomics dataset that needs further interpretation? Share your organism, protein identifiers, analysis results, and research objectives with MtoZ Biolabs. Our team can assess a suitable STRING-based network analysis strategy for your project.

MtoZ Biolabs, an integrated chromatography and mass spectrometry (MS) services provider.

Related Services

Protein-Protein Interaction Analysis Service

Protein Network Analysis Service