Surface Diver – Comparing, and Classifying Proteins according to their Physicochemical Properties

Surface Diver

:: DESCRIPTION

Surface Diver allows describing, comparing, and classifying proteins according to their physicochemical properties without the need of prior 3D structural alignment.

::DEVELOPER

Biomolecular Machines Laboratory 

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 Surface Diver

:: MORE INFORMATION

Citation

Maciej Dlugosz, Joanna Trylska
Electrostatic similarity of proteins: Application of 3D spherical harmonic decomposition,
J. Chem. Phys., 129:015103, 2008

SelfAT-Fold – Protein Fold Recognition

SelfAT-Fold

:: DESCRIPTION

selfAT-fold: protein fold recognition based on residue-based and motif-based self-attention networks

::DEVELOPER

Liu Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

SelfAT-Fold

:: MORE INFORMATION

Citation

Pang Y, Liu B.
SelfAT-Fold: protein fold recognition based on residue-based and motif-based self-attention networks.
IEEE/ACM Trans Comput Biol Bioinform. 2020 Oct 22;PP. doi: 10.1109/TCBB.2020.3031888. Epub ahead of print. PMID: 33090951.

ProtRe-CN – Protein Remote Homology Detection

ProtRe-CN

:: DESCRIPTION

ProtRe-CN is a novel ranking method for protein remote homology detection by combining classification methods and network methods via Learning to Rank.

::DEVELOPER

Liu Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

ProtRe-CN

:: MORE INFORMATION

Citation

Shao J, Chen J, Liu B.
ProtRe-CN: Protein Remote Homology Detection by Combining Classification Methods and Network Methods via Learning to Rank.
IEEE/ACM Trans Comput Biol Bioinform. 2021 Aug 30;PP. doi: 10.1109/TCBB.2021.3108168. Epub ahead of print. PMID: 34460380.

DeepIDP-2L – Protein intrinsically Disordered Region Prediction

DeepIDP-2L

:: DESCRIPTION

DeepIDP-2L is a web server for protein intrinsically disordered region prediction by combining convolutional attention network and hierarchical attention network

::DEVELOPER

Liu Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Tang YJ, Pang YH, Liu B.
DeepIDP-2L: protein intrinsically disordered region prediction by combining convolutional attention network and hierarchical attention network.
Bioinformatics. 2021 Dec 2:btab810. doi: 10.1093/bioinformatics/btab810. Epub ahead of print. PMID: 34864847.

pClust 1.0 – Parallel Identification of Dense Protein Clusters

pClust 1.0

:: DESCRIPTION

 PClust is a scalable parallel software for detecting dense subgraphs.

::DEVELOPER

Ananth Kalyanaraman

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C Compiler

:: DOWNLOAD

 pClust

:: MORE INFORMATION

Citation

C. Wu, A. Kalyanaraman.
An efficient parallel approach for identifying protein families in large-scale metagenomic data sets.
Proc. ACM/IEEE Supercomputing Conference (SC’08), Austin, TX, November 15-21. pp. 1-10. 2008

FoldHSphere – Deep Hyperspherical Embeddings for Protein Fold Recognition

FoldHSphere

:: DESCRIPTION

FoldHSphere is a method to learn a better fold embedding space through a two-stage training procedure.

::DEVELOPER

Amelia Villegas-Morcillo

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python
:: DOWNLOAD

FoldHSphere

:: MORE INFORMATION

Citation

Villegas-Morcillo A, Sanchez V, Gomez AM.
FoldHSphere: deep hyperspherical embeddings for protein fold recognition.
BMC Bioinformatics. 2021 Oct 12;22(1):490. doi: 10.1186/s12859-021-04419-7. PMID: 34641786; PMCID: PMC8507389.

NucImport v2 – Nuclear Protein Import and Localisation Signals Predictor

NucImport v2

:: DESCRIPTION

NucImport is a protein sequence and interaction prediction service designed to determine the nuclear transport of proteins in mouse and yeast. NucImport uses Bayesian networks, recognizes NLSs, links interactions to localization signals and incorporates sequence similarity. NucImport accepts amino acid sequences from user, presented in the FASTA format, and determines the probability of nuclear import as well as the location of nuclear localization signal in the query protein.

::DEVELOPER

Institute for Molecular Bioscience, The University of Queensland

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Mac
  • Java

:: DOWNLOAD

 NucImport

:: MORE INFORMATION

Citation

Bioinformatics. 2011 May 1;27(9):1239-46. Epub 2011 Mar 3.
A probabilistic model of nuclear import of proteins.
Mehdi AM, Sehgal MS, Kobe B, Bailey TL, Bodén M.

STRAP 1.5 – Software Tool for Rapid Annotation of Proteins

STRAP 1.5

:: DESCRIPTION

STRAP, the Software Tool for Rapid Annotation of Proteins, saves you time by automatically annotating a protein list with information that helps you meaningfully interpret your mass spectrometry data.

::DEVELOPER

Cardiovascular Proteomics Center ,BU School of Medicine

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

 STRAP

:: MORE INFORMATION

Citation

Bhatia VN, Perlman DH, Costello CE, McComb ME.
Software tool for researching annotations of proteins: open-source protein annotation software with data visualization.
Analytical Chemistry 2009, 81 (23), 9819-23.

Cytoprophet 1.0 – A Cytoscape plug-in for Protein and Domain Interaction Networks Inference

Cytoprophet 1.0

:: DESCRIPTION

Cytoprophet is a project developed by the Laboratory for Computational Life Sciences at the Computer Science Department of the University of Notre Dame. It is a tool to help researchers to infer new potential protein (PPI) and domain (DDI) interactions. It is implemented as a Cytoscape plugin, where users input a set of proteins and retrieve a network of plausible protein and domain interactions with a score. Three algorithms are used for the estimation of PPI/DDI: Maximum Specificity Set Cover (MSSC) Approach, Maximum Likelihood Estimation (MLE) and the Sum-Product Algorithm (SPA) for protein networks.

::DEVELOPER

Cytoprophet team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 Cytoprophet

:: MORE INFORMATION

Citation

Chengbang Huang , Faruck Morcos, Simon P. Kanaan, Stefan Wuchty, Danny Z. Chen, and Jesús A. Izaguirre
Predicting Protein-Protein Interactions from Protein Domains Using a Set Cover Approach.
IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol 4 pp. 78-87. Jan-March 2007

PSAAM – Protein Sequence Analysis And Modelling

PSAAM

:: DESCRIPTION

PSAAM (Protein Sequence Analysis And Modelling) includes many useful features for analysis of structural information from sequence data, cartoons for graphical representation of secondary structures, prediction programs, and prediction aids, a ribosome function for generation of coordinates sets in PDB format (including Header information) for viewing by molecular graphics packages (examples, see also PDVWIN), and a SeqPlot function for plotting secondary structural models (helical cylinders and wheels, coils, etc., with each residue indicated by a circle, color-coded (or coded by line thickness) according to the current physico-chemical index.

::DEVELOPER

A.R. CROFTS

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

PSAAM

:: MORE INFORMATION

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