Sequence comparison latent semantic analysis and support vector machine to detect remote protein homology

TL;DRAbstract

Remote protein homology detection refers to the detection of structural homology in weak proteins. Remote protein homology is important to identify function for new proteins which could assist in curing genetic diseases, performing drug design, and identifying novel enzymes. To detect remote protein homology, several problems have been identified by researchers which are hard-to-align proteins homology detection and high dimensional feature vectors of proteins caused by redundant and noisy data. To address these problems, a new remote protein homology detection computational framework has been developed. The computational framework begins by extracting structural similarity of protein using highly sensitive structural similarity algorithm which consist of four steps: split protein sequences into substring, calculate similarity using pairwise protein substring alignment, build guide tree, and extract the high structural similarity using multiple protein sequence alignment. Then, Latent

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