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Greatest papers with code

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

13 Jul 2020agemagician/ProtTrans

Computational biology and bioinformatics provide vast data gold-mines from protein sequences, ideal for Language Models (LMs) taken from Natural Language Processing (NLP).

DIMENSIONALITY REDUCTION PROTEIN SECONDARY STRUCTURE PREDICTION

ProteinNet: a standardized data set for machine learning of protein structure

1 Feb 2019EricAlcaide/MiniFold

We have created the ProteinNet series of data sets to provide a standardized mechanism for training and assessing data-driven models of protein sequence-structure relationships.

PROTEIN SECONDARY STRUCTURE PREDICTION PROTEIN STRUCTURE PREDICTION

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.

PROTEIN SECONDARY STRUCTURE PREDICTION PROTEIN STRUCTURE PREDICTION

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

Scientific Reports 2019 mircare/Porter5

In spite of this, even the most sophisticated ab initio SS predictors are not able to reach the theoretical limit of three-state prediction accuracy (88–90%), while only a few predict more than the 3 traditional Helix, Strand and Coil classes.

PROTEIN SECONDARY STRUCTURE PREDICTION

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

bioRxiv 2018 mircare/Porter5

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.

PROTEIN SECONDARY STRUCTURE PREDICTION

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.

PROTEIN SECONDARY STRUCTURE PREDICTION

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.

MULTI-TASK LEARNING PROTEIN SECONDARY STRUCTURE PREDICTION

DLPAlign: A Deep Learning based Progressive Alignment Method for Multiple Protein Sequences

21 Nov 2020kuangmeng/DLPAlign

This paper proposed a novel and straightforward approach to improve the accuracy of progressive multiple protein sequence alignment method.

DECISION MAKING MULTIPLE SEQUENCE ALIGNMENT PROTEIN SECONDARY STRUCTURE PREDICTION