Results 11 to 20 of about 214,637 (252)

OCLSTM: Optimized convolutional and long short-term memory neural network model for protein secondary structure prediction. [PDF]

PLoS ONE, 2021
Protein secondary structure prediction is extremely important for determining the spatial structure and function of proteins. In this paper, we apply an optimized convolutional neural network and long short-term memory neural network models to protein ...
Yawu Zhao, Yihui Liu
doaj   +2 more sources

PSSP-MFFNet: A Multifeature Fusion Network for Protein Secondary Structure Prediction [PDF]

ACS Omega
Yifu Chen, Guanxing Chen, Calvin Yu-Chian Chen   +2 more
doaj   +2 more sources

Prediction of protein secondary structure based on an improved channel attention and multiscale convolution module

Frontiers in Bioengineering and Biotechnology, 2022
Prediction of the protein secondary structure is a key issue in protein science. Protein secondary structure prediction (PSSP) aims to construct a function that can map the amino acid sequence into the secondary structure so that the protein secondary ...
Xin Jin, Xin Jin, Lin Guo, Lin Guo, Qian Jiang, Qian Jiang, Nan Wu, Nan Wu, Shaowen Yao, Shaowen Yao   +9 more
doaj   +1 more source

PS4: a next-generation dataset for protein single-sequence secondary structure prediction

BioTechniques, 2023
Protein secondary structure prediction is a subproblem of protein folding. A light-weight algorithm capable of accurately predicting secondary structure from only the protein residue sequence could provide useful input for tertiary structure prediction ...
Omar Peracha
doaj   +1 more source

MUFOLD-SS: New deep inception-inside-inception networks for protein secondary structure prediction. [PDF]

Proteins, 2018
Fang C, Shang Y, Xu D.
europepmc   +2 more sources

3-State Protein Secondary Structure Prediction based on SCOPe Classes

Brazilian Archives of Biology and Technology, 2021
Improving the accuracy of protein secondary structure prediction has been an important task in bioinformatics since it is not only the starting point in obtaining tertiary structure in hierarchical modeling but also enhances sequence analysis and ...
Sema Atasever, Nuh Azgınoglu, Hasan Erbay, Zafer Aydın   +3 more
doaj   +1 more source

Prediction of protein secondary structure content [PDF]

Protein Engineering, Design and Selection, 1999
All existing algorithms for predicting the content of protein secondary structure elements have been based on the conventional amino-acid-composition, where no sequence coupling effects are taken into account. In this article, an algorithm was developed for predicting the content of protein secondary structure elements that was based on a new amino ...
W, Liu, K C, Chou
openaire   +2 more sources

Protein secondary structure prediction (PSSP) using different machine algorithms

Egyptian Journal of Medical Human Genetics, 2021
Background The computational biology approach has advanced exponentially in protein secondary structure prediction (PSSP), which is vital for the pharmaceutical industry.
Heba M. Afify, Mohamed B. Abdelhalim, Mai S. Mabrouk, Ahmed Y. Sayed   +3 more
doaj   +1 more source

Convolution-Bidirectional Temporal Convolutional Network for Protein Secondary Structure Prediction

IEEE Access, 2022
As a basic feature extraction method, convolutional neural networks have some information loss problems when dealing with sequence problems, and a temporal convolutional network can compensate for this problem.
Yunqing Zhang, Yuming Ma, Yihui Liu
doaj   +1 more source

Enhancing fragment-based protein structure prediction by customising fragment cardinality according to local secondary structure

BMC Bioinformatics, 2020
Background Whenever suitable template structures are not available, usage of fragment-based protein structure prediction becomes the only practical alternative as pure ab initio techniques require massive computational resources even for very small ...
Jad Abbass, Jean-Christophe Nebel
doaj   +1 more source