Recent progress in predicting protein sub-subcellular locations

Abstract

In the last two decades, the number of the known protein sequences increased very rapidly. However, a knowledge of protein function only exists for a small portion of these sequences. Since the experimental approaches for determining protein functions are costly and time consuming, in silico methods have been introduced to bridge the gap between knowledge of protein sequences and their functions. Knowing the subcellular location of a protein is considered to be a critical step in understanding its biological functions. Many efforts have been undertaken to predict the protein subcellular locations in silico. With the accumulation of available data, the substructures of some subcellular organelles, such as the cell nucleus, mitochondria and chloroplasts, have been taken into consideration by several studies in recent years. These studies create a new research topic, namely ‘protein sub-subcellular location prediction’, which goes one level deeper than classic protein subcellular location prediction.

Keywords::

• in silico
• subcellular location
• subchloroplast
• submitochondrial
• subnuclear

Financial & competing interests disclosure

This work was supported by National Science Foundation of China (NSFC 61005041 and 60905014), the PhD Programs Foundation of Ministry of Education of China (No. 20100032120039) and the Seed Foundation of Tianjin University (No. 60302006 and 60302010). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

No writing assistance was utilized in the production of this manuscript.