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ISSN: 0974-276X

Journal of Proteomics & Bioinformatics

Open Access
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Upcoming Special Issues

Special issue entitled: "Omics of Renal Disease" has been edited by
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Victor P. Andreev, PhD, DSc
Senior Research Scientist
Arbor Research Collaborative for Health
Ann Arbor, Michigan, USA

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Special issue entitled: "Applications of Proteomics in Pathology" has been edited by
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Alan Tackett
Professor of Biochemistry & Molecular Biology
Professor of Pathology
Univ of Arkansas for Medical Sciences

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About the Journal


The Journal of Proteomics & Bioinformatics is an academic journal providing an opportunity to researchers and scientist to explore the advanced and latest research developments in the field of proteomics and bioinformatics in animal, plant and microbial world. Journal of Proteomics & Bioinformatics publishes the highest quality scientific articles amalgamating broad range of fields including the fields related to proteomics and bioinformatics.

Proteomics Journals is an open access journal that aims to publish the most complete and reliable source of information on the advanced and very latest research topics related to the recent advancements in Omics studies. Proteomics journals have been showing tremendous citations and articles focusing the most advanced research trends in the field of Bioinformatics tools, Protein Biochemistry, Big Data in Genomics & Proteomics. Proteomics journals impact factors is mainly calculated based on the number of articles that undergo a double blind peer review process by competent Editorial Board so as to ensure excellence, essence of the work and number of citations received for the same published articles.

This top best scholarly journal is using Editorial Manager® System for online manuscript submission, review and tracking. Editorial board members of the JPB or outside experts review manuscripts; at least two independent reviewer’s approval followed by the editor is required for the acceptance of any citable manuscript.

Submit manuscript at http://editorialmanager.com/proteomics/ or send as an e-mail attachment to the Editorial Office at editor.jpb@omicsonline.org

Microarray Proteomics

Microarray proteomics, including protein chip or protein microarray, has received widespread attention because of its characteristics such as high flux, high specificity and sensitivity appeared, and are increasingly used in protein expression spectrum and protein interactions of systemic research.


Study of the proteins produced and expressed in the genome, including ribosomal synthesis and proteolytic degradation of an organism is the proteome. The wide research on proteome, is practiced through different separation techniques such as two dimensional gel electrophoresis, SDS-PAGE, Tandem mass spectrometry, which helps in the easy detection of the disease related proteins.

Proteomic Analysis

Proteomic analysis is the complete identification and quantification of the proteome i.e. the complete study of the proteins produced and expressed in the biological systems of an organism at a particular period of time. The most commonly used techniques for the study of proteome is by mass-spectrometry.

Proteomics Clinical Applications

Proteomics is a novel technology that has been extended to medical field. This methodology involves the identification of proteins that are involved in pathological process which results in understanding the how a disease can lead to altered protein expression. Proteomics application in medical field has led to the study of the disease and to improve its diagnosis and prognosis.

Cancer Proteomics

Proteomics technologies are used for early detection and diagnosis of cancers for the development of novel therapeutic agents.  Identification of biomarker and also the study of protein expression of the cancer are studied through proteomics platforms. These studies have led to the development of discovering new drugs and targeted therapeutics towards the tumor cells.

Protein Sequence Analysis

Determination of amino acid sequence of protein, the study of the conformation changes of proteins and also the study of the complex molecules with any other non-peptide molecule is protein sequence analysis. The cellular processes of a living organism are known by the discovery of the structure and function of proteins, thus allowing researcher to develop and design drug targets. Mass-spectrometry and Edman degradation are the major methods to determine the protein sequencing.

Mass Spectrometry in Proteomics

Analytical tool that is used to measure the mass-to-charge-ration of one or more molecules present in a given sample is mass spectrometry. Mass spectrometry is used to identify the unknown compound by determining the molecular weight. This has become an indispensable tool in the field of proteomics. A novel development of this technique is the electron-transfer dissociation, has led to the study of protein expression, interaction, and modification.

Proteome Profiling

Characterization of proteins from organisms, their body fluids or extracts is the main aim of Proteome profiling. Thus profiling of a proteome serves as a foundation for the study of quantitative changes and modification of the targeted proteins. The dynamic changes occurring in the systems can be studied by profiling along with the combination of transcriptomics.

Proteomic Biomarkers

According to the European Medicines Agency; Biomarker is defined as 'measurable characteristics that reflect physiological, pharmacological, or disease processes'. Genomic, proteomic, transcriptomic, metabolomics and imaging analyses are ideal platform for biomarkers discovery. New classes of biomarkers derived from mass spectroscopy analysis of the low molecular weight proteome have shown improved abilities in the early detection of disease and hence in patient risk stratification and outcome. Biomarkers are used to improve the patient condition by the so-called personalized medicine approaches.

Clinical Proteomics

Clinical Proteomics includes all aspects of translational proteomics. As the research in molecular medicine field has moved beyond genomics to proteomics. Clinical proteomics studies can help researcher understand the characterization of cellular network, impact of the disease and its therapy.

Quantitative Proteomics

An analytical chemical technique that is used to determine the amount of proteins in the given sample is by Quantitative proteomics. The global analysis of protein expression, is increasingly being used as a method to study steady-state and perturbation-induced changes in protein profiles. The differences in the expression of proteins among different biological states of the cell i.e., control vs. treatment, healthy vs. disease, specific genotype vs. wild type.

Human Proteome Project Applications

The Human Proteome Project (HPP) is an international project initiated by the Human Proteome Organization (HUPO). Emergence of new techniques such as mass-spectrometry and Electrospray ionization the proteome of human can be determined to enhance the understanding the biology at cellular level. The chromosome-based HPP goals to develop our understanding of the human proteome with a focus on expanding the understanding of each and every gene on each chromosome. The biology/disease-based HPP aims to expand our understanding of the human proteome with a focus on important biology research aspects and ongoing disease-focused research.

Bioinformatics Tools

Bioinformatics tools are software programs that are designed for extracting the meaningful information from the mass of molecular biology / biological databases & to carry out sequence or structural analysis. There are data-mining software that retrieves data from genomic sequence databases and also visualization tools to analyze and retrieve information from proteomic databases. These can be classified as homology and similarity tools, protein functional analysis tools, sequence analysis tools and miscellaneous tools.

Applications of Bioinformatics

Bioinformatics is the use of information technology in biotechnology for the data storage, data warehousing and analyzing the DNA sequences. There is a tremendous application of bioinformatics in the field of homology and similarity tools, protein function analysis, personalised medicine, Gene therapy, Drug development, Comparative Studies and also climate change studies.

Bioinformatics Databases

"A biological database is a large, organized body of persistent data, usually associated with computerized software designed to update, query, and retrieve components of the data stored within the system. A simple database might be a single file containing many records, each of which includes the same set of information."
A few popular databases are GenBank from NCBI (National Center for Biotechnology Information), SwissProt from the Swiss Institute of Bioinformatics and PIR from the Protein Information Resource.
GenBank: GenBank (Genetic Sequence Databank) is one of the fastest growing repositories of known genetic sequences.
EMBL: The EMBL Nucleotide Sequence Database is a comprehensive database of DNA and RNA sequences collected from the scientific literature and patent applications and directly submitted from researchers and sequencing groups.
SwissProt: This is a protein sequence database that provides a high level of integration with other databases and also has a very low level of redundancy (means less identical sequences are present in the database).

Python for Bioinformatics

Python is a widely used general-purpose, high-level programming language in bioinformatics feild. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than would be possible in languages such as C++ or Java. The language provides constructs intended to enable clear programs on both a small and large scale.

Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.

Python interpreters are available for installation on many operating systems, allowing Python code execution on a wide variety of systems. Using third-party tools, such as Py2exe or Pyinstaller, Python code can be packaged into stand-alone executable programs for some of the most popular operating systems, allowing for the distribution of Python-based software for use on those environments without requiring the installation of a Python interpreter.

Bioinformatics Algorithms

Bioinformatics is the study of living organisms viewed as information processors. We study algorithms for sequence alignment, motif finding and gene finding, construction of phylogenetic trees, and structure prediction. A study of the algorithms leads to a better understanding of the assumptions and limitations of existing algorithms, and gives students the background to evaluate new ones.

Bioinformatics Companies and Market Analysis

Bioinformatics deals with storing, analyzing, retrieving and organizing biological information, helps effectively manage huge databases associated with drug discovery and development. In 2013, the global bioinformatics market was valued at USD 3,421.8 million and a potential growth in the market value is expected at CACR. It has been estimated that the market value will reach USD 12,485.2 million by 2020. High-throughput sequencing, biomarker discovery and the emergence of its growing application is the major cause for the increase in the growth of bioinformatics industries.

As per the analysis bioinformatics markets are mainly found segmented in North America, Europe, Asia-Paciifc, and Rest of the World (RoW). North America is expected to has the largest share of the market followed by Europe in 2015. Illumina, Inc. (U.S.), DNAnexus(U.S.) Qiagen (the Netherland), Affymetrix, Inc. (U.S.), Life Technologies Corporation (U.S.) are the major companies in this field.

Molecular and Cellular Proteomics

Accelerating development of technology in the field of proteomics has led to the study of protein structure and function, its expression in normal cell and a diseased cell. The microarray technology has enabled the study of changes in mRNA. Molecular and cellular proteomics allows knowing the post-translation modification of the proteins and the contribution to the gene expression.

Proteomics Companies and Market Analysis

Human Genome Project has bought in the revolution in the in-depth study of genomics and proteomics of human and thus leading to development of protein therapeutic candidates. These therapeutic proteins require improvements in its pharmacokinetic properties so that these are clinically effective as drugs. A high potential growth has been seen in the proteomics market because of the growing field of personalized medicine and the subsequent increase of the proteomic technologies-based advancement in the pharmaceutical industry.

U.S market has seen a reduce in the research funds in the field of proteomics companies as there are difficulties to get approvals for biomarkers and high cost of proteomics tools. The Asian region is one the most promising markets as the countries such as India and China  has seen the rise in proteomics-based research.

OMICS International Organises 300+ Conferences Every Year across USA, Europe & Asia with support from 1000 more scientific societies and Publishes 500+ Open access journals including 400+ national symposiums which contains over 30000 eminent personalities, reputed scientists as editorial board members.

OMICS Group is honoured to invite all the participants to join for its Conference 5th International Conference on Proteomics & Bioinformatics during September 01-03, 2015 at Valencia, Spain. The Conference on Proteomics & Bioinformatics is the event which promotes exchange of knowledge and research techniques with all the experts from pharmaceutical and biotech companies, academicians from leading universities, scientists from research institutions. Proteomics conference covers the major topics and recent developments in Proteomics and Bioinformatics research work.

Welcome message from Editor-in-Chief

We would like to thank you for your interest in the Journal of Proteomics and Bioinformatics. We strive to produce top-notch publications with cutting-edge science. If your interests are in the ever growing fields of proteomics and bioinformatics, then you have found the right place to read and publish.

We would like to thank you for your interest in the Journal of Proteomics and Bioinformatics. We strive to produce top-notch publications with cutting-edge science. If your interests are in the ever growing fields of proteomics and bioinformatics, then you have found the right place to read and publish.

*Unofficial 2014 Impact Factor was established by dividing the number of articles published in 2012 and 2013 with the number of times they are cited in 2014 based on Google search and the Scholar Citation Index database. If ‘X’ is the total number of articles published in 2012 and 2013, and ‘Y’ is the number of times these articles were cited in indexed journals during 2014 than, impact factor = Y/X


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