InteroPORC: an automated tool to predict highly conserved protein interaction networks

被引：0
|
作者：
Magali Michaut
Samuel Kerrien
Luisa Montecchi-Palazzi
Corinne Cassier-Chauvat
Franck Chauvat
Jean-Christophe Aude
Pierre Legrain
Henning Hermjakob
机构：
[1] IBITECS,
[2] CEA,undefined
[3] Gif sur Yvette,undefined
[4] PANDA,undefined
[5] EMBL-EBI,undefined
来源：
BMC Bioinformatics | / 9卷
关键词：
Target Species; Protein Interaction Network; Inference Process; Cluster Link; Interaction Dataset;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] ConCysFind: a pipeline tool to predict conserved amino acids of protein sequences across the plant kingdom
    Marten Moore
    Corinna Wesemann
    Nikolaj Gossmann
    Arne Sahm
    Jan Krüger
    Alexander Sczyrba
    Karl-Josef Dietz
    BMC Bioinformatics, 21
  • [22] ConCysFind: a pipeline tool to predict conserved amino acids of protein sequences across the plant kingdom
    Moore, Marten
    Wesemann, Corinna
    Gossmann, Nikolaj
    Sahm, Arne
    Krueger, Jan
    Sczyrba, Alexander
    Dietz, Karl-Josef
    BMC BIOINFORMATICS, 2020, 21 (01)
  • [23] Predicting synthetic lethal interactions using conserved patterns in protein interaction networks
    Benstead-Hume, Graeme
    Chen, Xiangrong
    Hopkins, Suzanna R.
    Lane, Karen A.
    Downs, Jessica A.
    Pearl, Frances M. G.
    PLOS COMPUTATIONAL BIOLOGY, 2019, 15 (04)
  • [24] Global Alignment of Pairwise Protein Interaction Networks for Maximal Common Conserved Patterns
    Tian, Wenhong
    Samatova, Nagiza F.
    INTERNATIONAL JOURNAL OF GENOMICS, 2013, 2013
  • [25] Conserved abundance and topological features in chromatin-remodeling protein interaction networks
    Sardiu, Mihaela E.
    Gilmore, Joshua M.
    Groppe, Brad D.
    Herman, Damir
    Ramisetty, Sreenivasa R.
    Cai, Yong
    Jin, Jingji
    Conaway, Ronald C.
    Conaway, Joan W.
    Florens, Laurence
    Washburn, Michael P.
    EMBO REPORTS, 2015, 16 (01) : 116 - 126
  • [26] Conserved long-range interaction networks, energetics and the determinants of protein topology
    Haratipour, Zeinab
    Poutsma, Jennifer
    Greene, Lesley
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2019, 257
  • [27] ProtNet: a tool for stochastic simulations of protein interaction networks dynamics
    Massimo Bernaschi
    Filippo Castiglione
    Alessandra Ferranti
    Caius Gavrila
    Michele Tinti
    Gianni Cesareni
    BMC Bioinformatics, 8
  • [28] ProtNet: a tool for stochastic simulations of protein interaction networks dynamics
    Bernaschi, Massimo
    Castiglione, Filippo
    Ferranti, Alessandra
    Gavrila, Caius
    Tinti, Michele
    Cesareni, Gianni
    BMC BIOINFORMATICS, 2007, 8 (Suppl 1)
  • [29] An automated method for finding molecular complexes in large protein interaction networks
    Gary D Bader
    Christopher WV Hogue
    BMC Bioinformatics, 4
  • [30] An automated method for finding molecular complexes in large protein interaction networks
    Bader, GD
    Hogue, CW
    BMC BIOINFORMATICS, 2003, 4 (1)
12345