KonAnBio can offer proteomic data analysis for actionable, high-throughput human protein profiles specific to various conditions such as cardiometabolic, inflammatory, neurological, and oncological disease states.
Proteomics deals with the expressed proteins in an organism. More specifically, proteomics looks at the presence or absence of specific proteins and expression levels over time, driven by external stressors, treatments, and/or disease state progression.
Proteomic functional data annotation allows for the mining of biological information databases to predict the function of a protein. Bioinformatics can identify, predict, and interpret protein PTMs. For example, predictive algorithms can anticipate potential modification sites, guiding experimental design.
The classification of genes and proteins according to their roles in biological systems is also the foundation for the analysis of relationships and interactions between them.
What is proteomic data analysis?
Proteomics deals with the study of all the expressed proteins in an organism. With Proteomics analysis you have a better understanding of the structure and function of the organism. More specifically, proteomics looks at how different proteins interact with each other and the roles they play within the organism.
Proteomics research involves the separation, identification, qualitative, quantitative, and functional characterization of the entire protein profile of a given cell, tissue, and/or organism. Studying proteome also includes the profiling of isoforms, mutants, post-translational modifications, splice variants and protein-protein interactions.
Some of our bioinformatics services in proteomics research encompass but are not limited to:
- Protein Sequence and Structural Bioinformatics
- Post-Translational Modifications
- Protein-Protein Interaction
- Functional Proteomics
- Proteomic Genetic
Our Bioinformatics platform for Proteomics
With years’ experience in advanced experiment equipments, KoAnBio can provide the following bioinformatics services in proteomics:
- Functional annotation and enrichment analysis
- Clustering analysis
- Network analysis
- Statistical analysis
- Proteomic analysis of post-translational modifications
Standard analysis pipeline for identified proteins by MS/NMR results:
- Functional annotation (GO, KEGG, COG)
- Statistical analysis (volcano plot, veen plot, etc.)
- Enrichment analysis (GO, KEGG)
- Clustering analysis
- Protein-protein interactions analysis