Results 11 to 20 of about 257,655 (321)

DNSS2: Improved ab initio protein secondary structure prediction using advanced deep learning architectures. [PDF]

open access: yesProteins, 2021
Motivation Accurate prediction of protein secondary structure (alpha-helix, beta-strand and coil) is a crucial step for protein inter-residue contact prediction and ab initio tertiary structure prediction.
Guo Z, Hou J, Cheng J.
europepmc   +2 more sources

Deep Ensemble Learning with Atrous Spatial Pyramid Networks for Protein Secondary Structure Prediction [PDF]

open access: yesBiomolecules, 2022
The secondary structure of proteins is significant for studying the three-dimensional structure and functions of proteins. Several models from image understanding and natural language modeling have been successfully adapted in the protein sequence study ...
Yuzhi Guo   +4 more
doaj   +2 more sources

Improved Chou-Fasman method for protein secondary structure prediction [PDF]

open access: goldBMC Bioinformatics, 2006
Background Protein secondary structure prediction is a fundamental and important component in the analytical study of protein structure and functions. The prediction technique has been developed for several decades.
Huang Zhengge, Gu Fei, Chen Hang
doaj   +2 more sources

Impact of Multi-Factor Features on Protein Secondary Structure Prediction [PDF]

open access: yesBiomolecules
Protein secondary structure prediction (PSSP) plays a crucial role in resolving protein functions and properties. Significant progress has been made in this field in recent years, and the use of a variety of protein-related features, including amino acid
Benzhi Dong   +5 more
doaj   +2 more sources

BeStSel: a web server for accurate protein secondary structure prediction and fold recognition from the circular dichroism spectra. [PDF]

open access: yesNucleic Acids Res, 2018
Circular dichroism (CD) spectroscopy is a widely used method to study the protein secondary structure. However, for decades, the general opinion was that the correct estimation of β-sheet content is challenging because of the large spectral and ...
Micsonai A   +8 more
europepmc   +2 more sources

Sixty-five years of the long march in protein secondary structure prediction: the final stretch? [PDF]

open access: yesBrief Bioinform, 2018
Protein secondary structure prediction began in 1951 when Pauling and Corey predicted helical and sheet conformations for protein polypeptide backbone even before the first protein structure was determined.
Yang Y   +6 more
europepmc   +2 more sources

Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields. [PDF]

open access: yesSci Rep, 2016
Protein secondary structure (SS) prediction is important for studying protein structure and function. When only the sequence (profile) information is used as input feature, currently the best predictors can obtain ~80% Q3 accuracy, which has not been ...
Wang S, Peng J, Ma J, Xu J.
europepmc   +3 more sources

Combining Deep Neural Networks for Protein Secondary Structure Prediction

open access: yesIEEE Access, 2020
By combining convolutional neural networks (CNN) and long short term memory networks (LSTM) into the learning structure, this paper presents a supervised learning method called combining deep neural networks (CDNN) for protein secondary structure ...
Shusen Zhou   +4 more
doaj   +2 more sources

Deeper Profiles and Cascaded Recurrent and Convolutional Neural Networks for state-of-the-art Protein Secondary Structure Prediction. [PDF]

open access: yesSci Rep, 2019
Protein Secondary Structure prediction has been a central topic of research in Bioinformatics for decades. In spite of this, even the most sophisticated ab initio SS predictors are not able to reach the theoretical limit of three-state prediction ...
Torrisi M, Kaleel M, Pollastri G.
europepmc   +2 more sources

DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction. [PDF]

open access: yesBMC Bioinformatics, 2019
Protein secondary structure (PSS) is critical to further predict the tertiary structure, understand protein function and design drugs. However, experimental techniques of PSS are time consuming and expensive, and thus it’s very urgent to develop ...
Guo Y, Li W, Wang B, Liu H, Zhou D.
europepmc   +2 more sources

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