MULTICOM Toolbox (@multicom-toolbox)
  • Stars
    star
    140
  • Global Org. Rank 48,875 (Top 16 %)
  • Registered over 8 years ago
  • Most used languages
    Perl
    78.9 %
    Python
    10.5 %
    C++
    5.3 %
    DIGITAL Command Language
    5.3 %

Top repositories

1

DNCON2

Deep convolutional neural networks for protein contact map prediction
Perl
23
star
2

deepdist

Deep learning prediction of protein residue-residue distances
Python
23
star
3

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.
Perl
17
star
4

CONFOLD2

Improved ab initio protein structure reconstruction
Perl
15
star
5

DNSS2

Deep learning architectures for protein secondary structure prediction (version 2)
Perl
10
star
6

CONFOLD

Contact-based protein structure prediction
Perl
10
star
7

DeepSF

Deep convolutional neural network for mapping protein sequences to folds
Perl
8
star
8

DNSS

Deep learning networks for protein secondary structure prediction
Perl
7
star
9

Chromosome3D

Reconstructing Three-Dimensional Chromosomal Structures from Hi- C Interaction Frequency Data using Distance Geometry Simulated Annealing
Perl
6
star
10

DeepCovQA

Deep convolutional neural networks for protein model quality assessment
Perl
4
star
11

DNTor

Deep learning networks for protein torsion angle prediction
Python
4
star
12

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.
C++
4
star
13

EMAP

The system of estimating model accuracy for protein structures
Perl
2
star
14

ConEVA

Toolbox for Assessment of Protein Contacts
DIGITAL Command Language
2
star
15

pdcn

protein function prediction using protein domain co-occurrence network (pdcn - ranked as one of the best methods in CAFA1 competition
Perl
1
star
16

CNNQA

Deep convolutional neural networks for protein model quality assessment
Perl
1
star
17

profun

Profun - protein function prediction tool (one of the top methods in CAFA2 competition)
Perl
1
star
18

DeepQA

Deep Belief Networks for Single Protein Structural Model Quality Assessment
Perl
1
star
19

DoBo

Perl
1
star