In this paper, we investigate feature analysis for the prediction of the secondary structure of protein sequences using support vector machines (SVMs) and ...
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Abstract. In this paper, we investigate feature analysis for the prediction of the secondary structure of protein sequences using support vector machines ...
In this paper, a step-by-step classification algorithm based on double-layer SVM model is constructed to predict the secondary structure of proteins.
Jun 29, 2018 · In this paper, we present a novel method for protein secondary structure prediction based on a data partition and semi-random subspace method (PSRSM).
May 4, 2023 · The secondary structure is determined by the patterns of hydrogen bonds, which correspond to pairwise features between amino acids. Then, the ...
In this paper, we present an unorthodox method to predict the protein structural class directly by using the residue's averaged chemical shifts (ACS) based on ...
Jul 17, 2024 · Accurately predicting the secondary structure of proteins helps to reveal how proteins are folded and how they function in cells. The ...
This paper presents a novel framework, called PSAC-PDB, for analyzing and classifying protein structures from the Protein Data Bank (PDB).
This study provides empirical evidence for future researchers to optimize multi-factor feature combinations and apply them to protein secondary structure ...
Abstract. Automated annotation and analysis of protein molecules have long been a topic of interest due to immediate applications in medicine and drug ...