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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "procoil" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'procoil: Prediction of Oligomerization of Coiled Coil Proteins'
version: 2.33.0
doi: 10.1074/mcp.M110.004994
abstract: The package allows for predicting whether a coiled coil sequence (amino
  acid sequence plus heptad register) is more likely to form a dimer or more likely
  to form a trimer. Additionally to the prediction itself, a prediction profile is
  computed which allows for determining the strengths to which the individual residues
  are indicative for either class. Prediction profiles can also be visualized as curves
  or heatmaps.
authors:
- family-names: Bodenhofer
  given-names: Ulrich
  email: ulrich@bodenhofer.com
preferred-citation:
  type: article
  title: Complex networks govern coiled coil oligomerization --- predicting and profiling
    by means of a machine learning approach
  authors:
  - family-names: Mahrenholz
    given-names: Carsten C.
  - family-names: Abfalter
    given-names: Ingrid G.
  - family-names: Bodenhofer
    given-names: Ulrich
    email: ulrich@bodenhofer.com
  - family-names: Volkmer
    given-names: Rudolf
  - family-names: Hochreiter
    given-names: Sepp
  journal: Mol. Cell. Proteomics
  volume: '10'
  issue: '5'
  year: '2011'
  doi: 10.1074/mcp.M110.004994
repository: https://bioc.r-universe.dev
repository-code: https://github.com/UBod/procoil
url: https://github.com/UBod/procoil
date-released: '2024-04-25'
contact:
- family-names: Bodenhofer
  given-names: Ulrich
  email: ulrich@bodenhofer.com