With the accomplishment of human genome sequencing, the number of sequence-known proteins has increased explosively; it is highly desired to develop effective computational methods and tools that can mine useful information to support the development of biochemistry, biomedicine, and drug design. Furthermore, in order to understand the protein-protein, protein-D/RNA, and other complex interactions, systems biology approaches are applied.

Meanwhile, the next-generation sequencing techniques and the high-throughput systems for measuring biomedical data have created the challenge to analyze the large-scale complicated experimental data. It is also highly demanded to develop and apply the advanced bioinformatics and systems biology approaches and tools for processing these sorts of datasets. We invite investigators to contribute research articles or review articles in these areas.

Potential topics include, but are not limited to:

• Various powerful methods, analyzers, and predictors for identifying protein attributes such as subcellular locations and functional class
• Protein function regions and sites prediction
• Posttranslational modification analysis and prediction
• Protein-protein, protein-D/RNA, protein-ligand, and D/RNA-ligand interactions
• Disease gene finding based on biology pathways and networks
• Analysis of the different stages of disease using systems biology approaches
• Gene network analysis and prediction of disease recurrence using bioinformatics and systems biology
• The analysis and prediction of drug's target disease, drug side-effect, combination, and toxicity based on systems biology
• The novel methods in SAR/QSAR or 3D-SA/QSAR study