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

RNAProt v0.4 – Modelling RBP binding preferences to predict RPB Binding Sites

RNAProt v0.4

:: DESCRIPTION

RNAProt is a computational RBP binding site prediction framework based on recurrent neural networks (RNNs). Conceived as an end-to-end method, RNAProt includes all necessary functionalities, from dataset generation over model training to the evaluation of binding preferences and binding site prediction.

::DEVELOPER

Bioinformatics Group Albert-Ludwigs-University Freiburg

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Conda

:: DOWNLOAD

RNAProt

:: MORE INFORMATION

Citation

Uhl M, Tran VD, Heyl F, Backofen R.
RNAProt: an efficient and feature-rich RNA binding protein binding site predictor.
Gigascience. 2021 Aug 18;10(8):giab054. doi: 10.1093/gigascience/giab054. PMID: 34406415; PMCID: PMC8372218.

CellSys 5.0 – Modular software for Physics-based Tissue Modelling in 3D

CellSys 5.0

:: DESCRIPTION

CellSys is a modular software tool for efficient off-lattice simulation of growth and organization processes in multicellular systems in two and three dimensions. It implements an agent-based model that approximates cells as isotropic, elastic and adhesive objects. Cell migration is modeled by an equation of motion for each cell.

::DEVELOPER

Hoehme Lab

:: SCREENSHOTS

CellSys

:: REQUIREMENTS

  •  Linux / WIndows

:: DOWNLOAD

 CellSys

:: MORE INFORMATION

Citation

A cell-based simulation software for multi-cellular systems.
Hoehme S, Drasdo D.
Bioinformatics. 2010 Oct 15;26(20):2641-2. doi: 10.1093/bioinformatics/btq437.

GNA 8.7.1.1 – Modelling & Simulation of Genetic Regulatory Networks

GNA 8.7.1.1

:: DESCRIPTION

GNA (Genetic Network Analyzer) is a computer tool for the qualitative modeling and simulation of genetic regulatory networks. GNA assists you in constructing a model of a genetic regulatory network using knowledge about regulatory interactions in combination with gene expression data. Moreover, it allows you to simulate the qualitative behavior of the network in response to external perturbations. The mathematical models created with GNA can be tested against observed properties of the network.

::DEVELOPER

Bruno Besson, Hidde de Jong, Pedro Monteiro, and Michel Page.

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows/MacOsx/Linux
  • Java

:: DOWNLOAD

 GNA

:: MORE INFORMATION

Citation

Methods Mol Biol. 2012;804:439-62. doi: 10.1007/978-1-61779-361-5_22.
Genetic network analyzer: a tool for the qualitative modeling and simulation of bacterial regulatory networks.
Batt G1, Besson B, Ciron PE, de Jong H, Dumas E, Geiselmann J, Monte R, Monteiro PT, Page M, Rechenmann F, Ropers D.

H. de Jong, J. Geiselmann, C. Hernandez, M. Page (2003),
Genetic Network Analyzer : Qualitative simulation of genetic regulatory networks,
Bioinformatics, 19(3):336-344

scLVM 0.1 – Modelling framework for Single-cell RNA-seq data

scLVM 0.1

:: DESCRIPTION

scLVM (single-cell Latent Variable Model) is a modelling framework for single-cell RNA-seq data that can be used to dissect the observed heterogeneity into different sources, thereby allowing for the correction of confounding sources of variation.

::DEVELOPER

Institute of Computational Biology, German Research Center for Environmental Health (GmbH)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOsX
  • Python
  • R

:: DOWNLOAD

 scLVM

:: MORE INFORMATION

Citation

Nat Biotechnol. 2015 Feb;33(2):155-60. doi: 10.1038/nbt.3102. Epub 2015 Jan 19.
Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells.
Buettner F, Natarajan KN, Casale FP, Proserpio V, Scialdone A, Theis FJ, Teichmann SA, Marioni JC, Stegle O

MTMDAT-HADDOCK 201210 – High-throughput, Data-driven Protein Complex Structure Modelling

MTMDAT-HADDOCK 201210

:: DESCRIPTION

MTMDAT-HADDOCK facilitates fast and detailed evaluation of mass spectrometry data of limited proteolysis experiments to probe the tertiary structure of proteins and even complex formation with other proteins, ligands, and surfaces

::DEVELOPER

the Maria Sunnerhagen group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux

:: DOWNLOAD

 MTMDAT-HADDOCK

:: MORE INFORMATION

Citation

BMC Struct Biol. 2012 Nov 15;12:29. doi: 10.1186/1472-6807-12-29.
MTMDAT-HADDOCK: high-throughput, protein complex structure modeling based on limited proteolysis and mass spectrometry.
Hennig J1, de Vries SJ, Hennig KD, Randles L, Walters KJ, Sunnerhagen M, Bonvin AM.

SWISS-MODEL – Protein Structure Homology-modelling Server

SWISS-MODEL

:: DESCRIPTION

SWISS-MODEL is a fully automated protein structure homology-modelling server, accessible via the ExPASy web server, or from the program DeepView (Swiss Pdb-Viewer).

::DEVELOPER

Protein Structure Bioinformatics Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation:

SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information. Biasini M, Bienert S, Waterhouse A, Arnold K, Studer G, Schmidt T, Kiefer F, Cassarino TG, Bertoni M, Bordoli L, Schwede T. Nucleic Acids Res. 2014 Jul;42(Web Server issue):W252-8. doi: 10.1093/nar/gku340. Epub 2014 Apr 29.

AMIGO2 R2019b – Advanced Modelling and Identification using Global Optimization

AMIGO2 R2019b

:: DESCRIPTION

AMIGO is a multi-platform (Windows and Linux) toolbox which covers all the steps of the iterative identification procedure: local and global sensitivity analysis, local and global ranking of parameters, parameter estimation, identifiability analysis and optimal experimental design.

::DEVELOPER

(Bio)Process Engineering group, IIM-CSIC

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux /MacOsX
  • Matlab

:: DOWNLOAD

 AMIGO

:: MORE INFORMATION

Citation:

AMIGO2, a toolbox for dynamic modeling, optimization and control in systems biology.
Balsa-Canto E, Henriques D, Gabor A, Banga JR.
Bioinformatics. 2016 Jul 4. pii: btw411.

Bioinformatics (2011)doi: 10.1093/bioinformatics/btr370 First published online: June 17, 2011
AMIGO, a toolbox for Advanced Model Identification in systems biology using Global Optimization
Eva Balsa-Canto and Julio R. Banga

LYRA 1.0 – Lymphocyte Receptor Automated Modelling

LYRA 1.0

:: DESCRIPTION

The LYRA server predicts structures for either T-Cell Receptors (TCR) or B-Cell Receptors (BCR) using homology modelling.

::DEVELOPER

DTU Health Tech

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

LYRA, a webserver for lymphocyte receptor structural modeling.
Klausen MS, Anderson MV, Jespersen MC, Nielsen M, Marcatili P.
Nucleic Acids Res. 2015 May 24. pii: gkv535

3D-DART – DNA Structure Modelling Server

3D-DART

:: DESCRIPTION

The 3D-DART server (3DNA-Driven DNA Analysis and Rebuilding Tool) provides a convenient means of generating custom 3D structural models of DNA with control over the local and global conformation.

::DEVELOPER

BONVIN LAB

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

M. van Dijk and A.M.J.J. Bonvin (2009)
3D-DART: a DNA structure modelling server
Nucl. Acids Res., 37 (Web Server Issue):W235-W239 doi:10.1093/nar/gkp287