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Sixty-five years of the long march in protein secondary structure prediction: the final stretch?
Protein secondary structure prediction began in 1951 when Pauling and Corey predicted
helical and sheet conformations for protein polypeptide backbone even before the first …
helical and sheet conformations for protein polypeptide backbone even before the first …
Protein secondary structure prediction: a review of progress and directions
Background: Over the last few decades, a search for the theory of protein folding has grown
into a full-fledged research field at the intersection of biology, chemistry and informatics …
into a full-fledged research field at the intersection of biology, chemistry and informatics …
Protein secondary structure prediction using cascaded convolutional and recurrent neural networks
Protein secondary structure prediction is an important problem in bioinformatics. Inspired by
the recent successes of deep neural networks, in this paper, we propose an end-to-end …
the recent successes of deep neural networks, in this paper, we propose an end-to-end …
SAINT: self-attention augmented inception-inside-inception network improves protein secondary structure prediction
Motivation Protein structures provide basic insight into how they can interact with other
proteins, their functions and biological roles in an organism. Experimental methods (eg X …
proteins, their functions and biological roles in an organism. Experimental methods (eg X …
A systematic review on popularity, application and characteristics of protein secondary structure prediction tools
Background: Prediction of proteins' secondary structure is one of the major steps in the
generation of homology models. These models provide structural information which is used …
generation of homology models. These models provide structural information which is used …
CNNH_PSS: protein 8-class secondary structure prediction by convolutional neural network with highway
Background Protein secondary structure is the three dimensional form of local segments of
proteins and its prediction is an important problem in protein tertiary structure prediction …
proteins and its prediction is an important problem in protein tertiary structure prediction …
Ensemble deep learning models for protein secondary structure prediction using bidirectional temporal convolution and bidirectional long short-term memory
L Yuan, Y Ma, Y Liu - Frontiers in Bioengineering and Biotechnology, 2023 - frontiersin.org
Protein secondary structure prediction (PSSP) is a challenging task in computational
biology. However, existing models with deep architectures are not sufficient and …
biology. However, existing models with deep architectures are not sufficient and …
DLBLS_SS: protein secondary structure prediction using deep learning and broad learning system
L Yuan, X Hu, Y Ma, Y Liu - RSC advances, 2022 - pubs.rsc.org
Protein secondary structure prediction (PSSP) is not only beneficial to the study of protein
structure and function but also to the development of drugs. As a challenging task in …
structure and function but also to the development of drugs. As a challenging task in …
Protein secondary structure prediction based on the fuzzy support vector machine with the hyperplane optimization
The prediction of the protein secondary structure is a crucial point in bioinformatics and
related fields. In the last years, machine learning methods have become a valuable tool …
related fields. In the last years, machine learning methods have become a valuable tool …
Protein secondary structure prediction using a lightweight convolutional network and label distribution aware margin loss
Protein secondary structure prediction (PSSP) is an important task in computational
molecular biology. Recently, deep neural networks have demonstrated great potential in …
molecular biology. Recently, deep neural networks have demonstrated great potential in …