Current Proteomics

Aims & Scope

Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry.

Current Proteomics publishes review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, softwares, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to:

Protein separation and characterization techniques
2-D gel electrophoresis and image analysis
Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching
Determination of co-translational and post- translational modification of proteins
Protein/peptide microarrays
Biomolecular interaction analysis
Analysis of protein complexes
Yeast two-hybrid projects

Protein-protein interaction (protein interactome) pathways and cell signaling networks
Systems biology
Proteome informatics (bioinformatics)
High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography)
High-throughput computational methods for protein 3-D structure as well as function determination
Robotics, nanotechnology, and microfluidics

In addition to in-depth reviews, articles highlighting recent proteomics papers of special interest as well as book reviews are published. Mini-reviews and perspective articles are also published. In view of the importance of specific technology and software developed for advancement of proteomics research, a separate section is devoted to product and technology reports. Proceedings of proteomics meetings with selected review articles on topics presented are also published.

"The wide areas covered by these articles gives an idea of how diverse the field is."

Deb Chakravarti
Quoted in Advances In: Proteomics - Preparing proteins' published in march 25, 2005 issue of science

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Welcome To
Current Proteomics

About the Journal

Aims & Scope

Ranking and Category

Meet Our Editorial Board Members

Computational Models or Methods for Protein Function Prediction

The Applications of Clustering Methods in Predicting Protein Functions

ML-rRBF-ECOC: A Multi-Label Learning Classifier for Predicting Protein Subcellular Localization with Both Single and Multiple Sites

A Method for Analyzing Two-locus Epistasis of Complex Diseases based on Decision Tree and Mutual Entropy

A Novel Gene Selection Algorithm based on Sparse Representation and Minimum-redundancy Maximum-relevancy of Maximum Compatibility Center

A Binary Classifier for the Prediction of EC Numbers of Enzymes

Pathogenic Genes Selection Model of Genetic Disease based on Network Motifs Slicing Feedback

Protein Subcellular Localization Prediction based on PSI-BLAST Profile and Principal Component Analysis

Identification of Novel Breast Cancer Genes based on Gene Expression Profiles and PPI Data

An Improved Scatter Search Algorithm for Parameter Estimation in Large-Scale Kinetic Models of Biochemical Systems

ACKNOWLEDGEMENTS TO REVIEWERS

Endorsement(s)

Announcements

Related Journals

Related E-Books

About Publisher

Bentham Science: About Us

Indexed in

Welcome To Current Proteomics

About the Journal

Aims & Scope

Ranking and Category

Meet Our Editorial Board Members

Computational Models or Methods for Protein Function Prediction

The Applications of Clustering Methods in Predicting Protein Functions

ML-rRBF-ECOC: A Multi-Label Learning Classifier for Predicting Protein Subcellular Localization with Both Single and Multiple Sites

A Method for Analyzing Two-locus Epistasis of Complex Diseases based on Decision Tree and Mutual Entropy

A Novel Gene Selection Algorithm based on Sparse Representation and Minimum-redundancy Maximum-relevancy of Maximum Compatibility Center

A Binary Classifier for the Prediction of EC Numbers of Enzymes

Pathogenic Genes Selection Model of Genetic Disease based on Network Motifs Slicing Feedback

Protein Subcellular Localization Prediction based on PSI-BLAST Profile and Principal Component Analysis

Identification of Novel Breast Cancer Genes based on Gene Expression Profiles and PPI Data

An Improved Scatter Search Algorithm for Parameter Estimation in Large-Scale Kinetic Models of Biochemical Systems

ACKNOWLEDGEMENTS TO REVIEWERS

Endorsement(s)

Announcements

Related Journals

Related E-Books

About Publisher

Bentham Science: About Us

Indexed in

Welcome To
Current Proteomics