An Introduction to Proteome Bioinformatics

Ankita Sharma

Abstract

For basic and translational research, high-throughput approaches are essential. Recent improvements in proteomics techniques, for example, have allowed biomedical researchers to characterise the proteome of a variety of creatures. Proteome bioinformatics approaches and technologies have greatly aided this extraordinary progress. The study and use of informatics in the realm of proteomics is known as proteome bioinformatics. This chapter presents an overview of the computational strategies, methodologies, and techniques for bioinformatics analysis of protein data provided in this book. This section provides an overview of the many bioinformatics tools, databases, and proteomic techniques discussed in each chapter. Proteomics bioinformatics tools, also known as proteome informatics tools, include a wide range of applications today, from simple tools for comparing protein amino acid compositions to sophisticated software for determining large-scale protein structure determination. This review looks at the tools that are now accessible and ready to use to assist end-users in interpreting, validating, and generating biological data from their experimental data. It focuses on bioinformatics tools for 2-DE analysis, LC followed by MS analysis, PMF-based protein identification, peptide fragment fingerprinting, and de novo sequencing, as well as data quantification using MS data. It also details activities aimed at automating MS analysis operations and improving the quality of the data obtained.

Abstract

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