SPOT-1D2: Improving Protein Secondary Structure Prediction using High Sequence Identity Training Set and an Ensemble of Recurrent and Residual-convolutional Neural Networks

Structure Prediction ◽

Training Set ◽

High Sequence Identity ◽

Sequence Identity

Multifaceted analysis of training and testing convolutional neural networks for protein secondary structure prediction

PLoS ONE ◽

10.1371/journal.pone.0232528 ◽

2020 ◽

Vol 15 (5) ◽

pp. e0232528

Author(s):

Maxim Shapovalov ◽

Roland L. Dunbrack ◽

Slobodan Vucetic

Keyword(s):

Neural Networks ◽

Secondary Structure ◽

Structure Prediction ◽

Multifaceted Analysis

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

Scientific Reports ◽

10.1038/s41598-019-48786-x ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 12

Author(s):

Mirko Torrisi ◽

Manaz Kaleel ◽

Gianluca Pollastri

Keyword(s):

Neural Networks ◽

Secondary Structure ◽

Structure Prediction ◽

State Of The Art ◽

Protein secondary structure prediction based on two dimensional deep convolutional neural networks

2017 3rd IEEE International Conference on Computer and Communications (ICCC) ◽

10.1109/compcomm.2017.8322886 ◽

2017 ◽

Cited By ~ 3

Author(s):

Yihui Liu ◽

Jinyong Cheng ◽

Yuming Ma ◽

Yehong Chen

Keyword(s):

Neural Networks ◽

Secondary Structure ◽

Structure Prediction ◽

Two Dimensional ◽

Deep Convolutional Neural Networks

AI*IA 2003: Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction

10.1007/978-3-540-39853-0_12 ◽

2003 ◽

pp. 142-153 ◽

Cited By ~ 4

Author(s):

Alessio Ceroni ◽

Paolo Frasconi ◽

Andrea Passerini ◽

Alessandro Vullo

Keyword(s):

Neural Networks ◽

Support Vector Machines ◽

Secondary Structure ◽

Recurrent Neural Networks ◽

Structure Prediction ◽

Support Vector ◽

Vector Machines

Protein secondary structure prediction using three neural networks and a segmental semi Markov model

Mathematical Biosciences ◽

10.1016/j.mbs.2008.11.001 ◽

2009 ◽

Vol 217 (2) ◽

pp. 145-150 ◽

Cited By ~ 21

Author(s):

Seyed Amir Malekpour ◽

Sima Naghizadeh ◽

Hamid Pezeshk ◽

Mehdi Sadeghi ◽

Changiz Eslahchi

Keyword(s):

Neural Networks ◽

Secondary Structure ◽

Markov Model ◽

Structure Prediction ◽

Combining Deep Neural Networks for Protein Secondary Structure Prediction

IEEE Access ◽

10.1109/access.2020.2992084 ◽

2020 ◽

Vol 8 ◽

pp. 84362-84370

Author(s):

Shusen Zhou ◽

Hailin Zou ◽

Chanjuan Liu ◽

Mujun Zang ◽

Tong Liu

Keyword(s):

Neural Networks ◽

Secondary Structure ◽

Structure Prediction ◽

Deep Neural Networks ◽

The importance of larger data sets for protein secondary structure prediction with neural networks

Protein Science ◽

10.1002/pro.5560050422 ◽

1996 ◽

Vol 5 (4) ◽

pp. 768-774 ◽

Cited By ~ 32

Author(s):

John-Marc Chandonia ◽

Martin Karplus

Keyword(s):

Neural Networks ◽

Secondary Structure ◽

Structure Prediction ◽

Data Sets ◽

Protein secondary structure prediction using neural networks

10.1117/12.541411 ◽

2004 ◽

Author(s):

Preeti Singh ◽

Yan-Qing Zhang

Keyword(s):

Neural Networks ◽

Secondary Structure ◽

Structure Prediction ◽

Protein secondary structure prediction using modular reciprocal bidirectional recurrent neural networks

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2010.04.005 ◽

2010 ◽

Vol 100 (3) ◽

pp. 237-247 ◽

Cited By ~ 16

Author(s):

Sepideh Babaei ◽

Amir Geranmayeh ◽

Seyyed Ali Seyyedsalehi

Keyword(s):

Neural Networks ◽

Secondary Structure ◽

Recurrent Neural Networks ◽

Structure Prediction ◽

PROTEIN SECONDARY STRUCTURE PREDICTION METHODS BASED ONRBF NEURAL NETWORKS

Computational Methods ◽

10.1007/978-1-4020-3953-9_4 ◽

2007 ◽

pp. 1037-1043 ◽

Cited By ~ 1

Author(s):

N. Jing ◽

B. Xia ◽

C.G. Zhou ◽

Y. Wang

Keyword(s):

Neural Networks ◽

Secondary Structure ◽

Structure Prediction ◽

Prediction Methods ◽