Inferring domain-domain interactions from protein-protein interactions
By Minghua Deng, Shipra Mehta, Fengzhu Sun, Ting Chen. Annual International Conference on Research in Computational Molecular Biology, 2002
475 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/f4e9307a0225070f6f1ec53c6ffa4a3d07b0db63
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Judith Klein-Seetharaman
- Qian Xu
- William Stafford Noble
- Qiang Yang
- Ruth Nussinov
- Anna R. Panchenko
- Benjamin A. Shoemaker
In Molecular Biology
- Qiang Yang
- Judith Klein-Seetharaman
- Anna R. Panchenko
- Benjamin A. Shoemaker
- Qian Xu
- Yanjun Qi
- Asa Ben-Hur
- Ziv Bar-Joseph
Citations in the corpus
- Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners (2007, methodology): “MLE and other methods emphasize nonspecific promiscuous domain interactions which are detected as those having large h values.”
- Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, background): “…to score protein–protein interactions (bottom–up approach) and to predict domain composition and interactions from interactome data (top–down approach) (Deng et al., 2002; Ng et al., 2003; Moon et al., 2005; Santonico et al., 2005; Emig et al., 2008; Prieto & De Las Rivas, 2010; Stein et al.,…”
- Protein-protein interaction prediction via Collective Matrix Factorization (2010, background): “Feature vectors may be extracted based on protein sequences directly or may involve indirect evidences, including domain compositions, motif pairs and related mRNA expression [5], [6], [7], [8], [9], [10], among others.”
- Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins (2010, unknown): “Availability: http://www.cs.cmu.edu/∼qyj/HIVsemi Contact: qyj@cs.cmu.edu”
- Evaluation of different biological data and computational classification methods for use in protein interaction prediction (2006, background): “8 There may be many other characteristics of a gene or protein pair with predictive value.”
- Online Predicted Human Interaction Database (2005, unknown): “Examples include domain–domain co-occurrence (Deng et al., 2002; Sprinzak and Margalit, 2001), gene co-expression (Bader et al.”
- Kernel methods for predicting protein-protein interactions (2005, background): “Several authors have proposed Bayesian network models that use the domain or motif content of a sequence to predict interactions (Deng et al., 2002; Gomez et al., 2003; Wang et al., 2005).”