Results 11 to 20 of about 418,398 (323)

Protein secondary structure: entropy, correlations and prediction [PDF]

Bioinformatics, 2004
Is protein secondary structure primarily determined by local interactions between residues closely spaced along the amino acid backbone, or by non-local tertiary interactions?
Gavin E. Crooks, Steven E. Brenner
core   +12 more sources

JPred4: a protein secondary structure prediction server. [PDF]

Nucleic Acids Res, 2015
JPred
Drozdetskiy A, Cole C, Procter J, Barton GJ.   +3 more
europepmc   +11 more sources

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

A simple strategy to enhance the speed of protein secondary structure prediction without sacrificing accuracy. [PDF]

PLoS ONE, 2020
The secondary structure prediction of proteins is a classic topic of computational structural biology with a variety of applications. During the past decade, the accuracy of prediction achieved by state-of-the-art algorithms has been >80%; meanwhile, the
Sheng-Hung Juan, Teng-Ruei Chen, Wei-Cheng Lo   +2 more
doaj   +2 more sources

Protein secondary structure prediction with context convolutional neural network. [PDF]

RSC Adv, 2019
Long S, Tian P.
europepmc   +3 more sources

TruMPET: A New Method for Protein Secondary Structure Prediction Using Neural Networks Trained on Multiple Pre-Selected Physicochemical and Structural Features. [PDF]

Int J Mol Sci
Milchevskiy YV, Kravatskaya GI, Kravatsky YV.   +2 more
europepmc   +3 more sources

Protein secondary structure prediction in different structural classes [PDF]

Protein Engineering Design and Selection, 1998
Information about the secondary structure of a protein can be helpful in understanding its native folded state. In previous work, it was shown that the medium-range interactions predominate in all-alpha class and the long-range interactions predominate in all-beta class proteins.
M. Michael Gromiha, S. Selvaraj
openalex   +3 more sources

Prediction of Protein Secondary Structure [PDF]

Kloczkowski, Andrzej, Kurgan, Lukasz, Faraggi, Eshel   +2 more
openalex   +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

Protein Secondary Structure Prediction

, 2008
{"references": ["Cuff, J. A. and Barton, G.J. \"Evaluation and improvement of multiple\nsequence methods for protein secondary structure prediction. Proteins,\n34, 1999, pp. 508-519.", "Cuff, J.A. and Barton G.J. \"Application of multiple sequence alignment\nprofiles to improve protein secondary structure prediction\" Proteins, 40,\n2000, pp. 502-511.",
Manpreet Singh, Parvinder S. Sandhu, Reet Kamal Kaur   +2 more
openalex   +3 more sources