In recent years several computational methods have been developed to predict RNA-binding sites in protein.
In order to systematically explore the drug target space in TB, several computational methods have also been developed which have identified potential drug repurposing candidates for TB.
Several computational methods for these general problems have already been developed and will be discussed (Liu 2012; Liu 2011a; Liu & Reifsnider 2013; Reifsnider et al. 2013).
We used several computational methods to survey the genome of the purple sea urchin Strongylocentrotus purpuratus for gene products involved in biomineralization.
To precisely predict sites for disulfide bonds, efforts have been made to analyze the key features and several computational methods have been developed (Ceroni et al., 2006; Tsai et al., 2007).
In recent years, several computational methods have been developed to reveal the essential features of metal-coupled protein folding, ranging from quantum mechanics (QM) to atomistic and coarse-grained (CG) simulations.
Several computational methods had been developed previously to identify direct targets of TFs.
While several computational methods are currently available for identifying miRNA genes, accurate prediction of the mature miRNA remains a challenge.
Up to now, several computational methods [10], [11], [12], [13], [14], [15], [16] have been proposed for the predicting AMPs.
Several computational methods have been proposed that make use of a wide range of features such as motifs, domains, homology, structure and physicochemical properties.
Several computational methods have been proposed to improve the detection of CNVs from array CGH data, but few population studies have used CGH data for identification of intra-species differences.
