InteractoMIX – Exploit Interactomes in Biological and Clinical Research

InteractoMIX

:: DESCRIPTION

InteractoMIX is a suite of computational tools designed to exploit interactomics information at different levels ranging from genome-wide interactomes to their atomic 3D structural details.

::DEVELOPER

 Bioinformatics Lab :: IBERS :: Aberystwyth University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Server

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Biochem Soc Trans, 44 (3), 917-24 2016 Jun 15
InteractoMIX: A Suite of Computational Tools to Exploit Interactomes in Biological and Clinical Research
Daniel Poglayen et al.

Bionet 3.0a – Biological Cell Network Pathway Simulation

Bionet 3.0a

:: DESCRIPTION

Bionet is intended to provide a computational tool for modeling biological pathways or biosystem dynamics on multiple scales. At this time, manual descriptions of gene and protein interactions are described in text files with a simple format.The methodology in bionet is distinguished from previous qualitative modeling approaches in several ways. The goal was to develop a model that would allow experimental biologists to use the kind of qualitative data found in typical journal articles to describe the interaction of genes, proteins, and other cellular components to create computer models of large numbers of interacting parts. This arose from a practical need in our research to keep track of myriad components in pathway models that were built from data extracted from dozens of journal articles. Biologists already do this kind of mental modeling every time they make a new hypothesis; a tool was needed to aid in this reasoning. Secondly, with new sources of data becoming available, it was important to design a methodology that could be expanded in the future to integrate new data sources to refine models.

::DEVELOPER

Bionet Team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / MacOsX /  Linux
  • Java

:: DOWNLOAD

 Bionet

:: MORE INFORMATION

Citation

Bosl, W. J. (2007).
Systems biology by the rules: hybrid intelligent systems for pathway modeling and discovery.
BMC Syst Biol, 1, 13.

BRAIN 1.0.5 /BRAIN Library 1.5 – Biologically Relevant Analysis of Interaction Networks

BRAIN 1.0.5 /BRAIN Library 1.5

:: DESCRIPTION

The BRAIN (Biologically Relevant Analysis of Interaction Networks) is a set of algorithms for predicting and analyzing protein domain-peptide ligand interactions based on experimentally known binding evidence (e.g. from protein chip or phage display experiments). BRAIN can be accessed as a Cytoscape plugin which reads peptide binding profiles and generates interactions displayed as a Cytoscape network.

::DEVELOPER

Bader Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 BRAIN /BRAIN Library

:: MORE INFORMATION