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# Protein Secondary Structure Prediction Edit

6 papers with code · Medical

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# Protein secondary structure prediction using deep convolutional neural fields

2 Dec 2015LucaAngioloni/ProteinSecondaryStructure-CNN

Protein secondary structure (SS) prediction is important for studying protein structure and function.

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# Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction

6 Mar 2014LucaAngioloni/ProteinSecondaryStructure-CNN

Here we present a new supervised generative stochastic network (GSN) based method to predict local secondary structure with deep hierarchical representations.

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# Porter 5: fast, state-of-the-art ab initio prediction of protein secondary structure in 3 and 8 classes

Motivation: Although secondary structure predictors have been developed for decades, current ab initio methods have still some way to go to reach their theoretical limits.

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# High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures

17 Nov 2018idrori/cu-ssp

In the spirit of reproducible research we make our data, models and code available, aiming to set a gold standard for purity of training and testing sets.

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# Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks

25 Apr 2016icemansina/IJCAI2016

Inspired by the recent successes of deep neural networks, in this paper, we propose an end-to-end deep network that predicts protein secondary structures from integrated local and global contextual features.

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# Sequence Transduction with Recurrent Neural Networks

14 Nov 2012ZhengkunTian/Speech-Recognition-Paper-List

One of the key challenges in sequence transduction is learning to represent both the input and output sequences in a way that is invariant to sequential distortions such as shrinking, stretching and translating.

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