Pseudo Amino Acid Composition and its Applications in Bioinformatics, Proteomics and System Biology

TLDR: The pseudo amino acid (PseAA) composition of a protein is actually a set of discrete numbers that is different from its amino acid sequence and able to harbour some sort of sequence order or pattern information.

Abstract: With the avalanche of protein sequences generated in the post-genomic age, it is highly desired to develop automated methods for efficiently identifying various attributes of uncharacterized proteins. This is one of the most im- portant tasks facing us today in bioinformatics, and the information thus obtained will have important impacts on the de- velopment of proteomics and system biology. To realize that, one of the keys is to find an effective model to represent the sample of a protein. The most straightforward model in this regard is its entire amino acid sequence; however, the entire sequence model would fail to work when the query protein did not have significant homology to proteins of known char- acteristics. Thus, various non-sequential models or discrete models were proposed. The simplest discrete model is the amino acid (AA) composition. Using it to represent a protein, however, all the sequence-order information would be com- pletely lost. To cope with such a dilemma, the concept of pseudo amino acid (PseAA) composition was introduced. Its es- sence is to keep using a discrete model to represent a protein yet without completely losing its sequence-order informa- tion. Therefore, in a broad sense, the PseAA composition of a protein is actually a set of discrete numbers that is de- rived from its amino acid sequence and that is different from the classical AA composition and able to harbour some sort of sequence order or pattern information. Ever since the first PseAA composition was formulated to predict protein sub- cellular localization and membrane protein types, it has stimulated many different modes of PseAA composition for studying various kinds of problems in proteins and proteins-related systems. In this review, we shall give a brief and sys- tematic introduction of various modes of PseAA composition and their applications. Meanwhile, the challenges for find- ing the optimal PseAA composition are also briefly discussed.