DeepSVM-fold: protein fold recognition by combining support vector machines and pairwise sequence similarity scores generated by deep learning networks

• Published in: Briefings in bioinformatics Vol. 21; no. 5; pp. 1733 - 1741
• Main Authors: Liu, Bin, Li, Chen-Chen, Yan, Ke
• Format: Journal Article
• Language: English
• Published: Oxford Oxford University Press 01.09.2020; Oxford Publishing Limited (England)
• Subjects: Computer applications; Deep learning; Feature extraction; Mathematical analysis; Protein folding; Proteins; Similarity; Support vector machines; Vector processing (computers); support vector machine; pairwise sequence similarity scores; convolutional neural network; protein fold recognition; long short-term memory

Abstract Protein fold recognition is critical for studying the structures and functions of proteins. The existing protein fold recognition approaches failed to efficiently calculate the pairwise sequence similarity scores of the proteins in the same fold sharing low sequence similarities. Furthermor...