multicom-toolbox/DNSS2

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multicom-toolbox/DNSS2

multicom-toolbox

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Deep learning architectures for protein secondary structure prediction (version 2)

DNCON2

Deep convolutional neural networks for protein contact map prediction

deepdist

Deep learning prediction of protein residue-residue distances

multicom

The MULTICOM protein structure system. This repository includes the source code and documents of both template-based and template-free modeling of the MULTICOM protein structure prediction system. 1D feature prediction, contact prediction, and clustering-based model ranking programs are also included.

CONFOLD2

Improved ab initio protein structure reconstruction

CONFOLD

Contact-based protein structure prediction

DeepSF

Deep convolutional neural network for mapping protein sequences to folds

DNSS

Deep learning networks for protein secondary structure prediction

Chromosome3D

Reconstructing Three-Dimensional Chromosomal Structures from Hi- C Interaction Frequency Data using Distance Geometry Simulated Annealing

DeepCovQA

Deep convolutional neural networks for protein model quality assessment

DNTor

Deep learning networks for protein torsion angle prediction

UniCon3D

UniCon3D: de novo protein structure prediction using united-residue conformational search via stepwise, probabilistic sampling. The tool was developed in Bioinformatics, Data Mining and Machine Learning (BDM) Lab at the University of Missouri, Columbia, USA.

EMAP

The system of estimating model accuracy for protein structures

ConEVA

Toolbox for Assessment of Protein Contacts

DIGITAL Command Language

pdcn

protein function prediction using protein domain co-occurrence network (pdcn - ranked as one of the best methods in CAFA1 competition

CNNQA

Deep convolutional neural networks for protein model quality assessment

profun

Profun - protein function prediction tool (one of the top methods in CAFA2 competition)

DeepQA

Deep Belief Networks for Single Protein Structural Model Quality Assessment

DoBo