MIPS: a database for genomes and protein sequences.
By Hans-Werner Mewes, D. Frishman, U. Güldener, G. Mannhaupt, K. Mayer, M. Mokrejš, B. Morgenstern, M. Münsterkötter, S. Rudd, B. Weil. Nucleic Acids Research, 2002
920 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/73f072aac4f44b860ab8eefd428573dfad3d44fc
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Citations in the corpus
- Socket: a program for identifying and analysing coiled-coil motifs within protein structures. (2001, background): “The coiled coil is a ubiquitous protein-folding motif (Lupas, 1996); current estimates indicate that approximately 5-10 % of the sequences emerging from the various genome projects encode coiledcoil regions (Walshaw & Woolfson, unpublished data; (Mewes et al., 2000)).”
- What is Bioinformatics? A Proposed Definition and Overview of the Field (2001, background): “Further genomic scale data that we can consider in large-scale surveys include the subcellular localisations of proteins and their interactions with each other [114-116].”
- Protein interaction networks from yeast to human. (2004, background): “[9–12]) and increasingly becoming warehouses for large-scale assay data, while novel databases continue to be developed [13].”
- A comprehensive evolutionary classification of proteins encoded in complete eukaryotic genomes (2004, background): “gether, more than 80% of the yeast proteins in the paneukaryotic, single-member KOGs belong to known macromolecular complexes included in the MIPS database [67], as compared to around 64% for all yeast proteins in the KOGs, which is a moderate but statistically highly significant excess (data not sh”
- Correlated sequence-signatures as markers of protein-protein interaction. (2001, background): “(1) The Munich Information Center for Protein Sequences, Germany: MIPS.(43) This is a database of genomic data that includes information about various organisms.”
- Functional Knowledge Transfer for High-accuracy Prediction of Under-studied Biological Processes (2013, methodology): “Physical and genetic interaction data from BioGRID [70], IntAct [71], Mint [72], and MIPS [73] were processed as counts of experimental assays that support an interaction between two genes (e.”
- Relating whole-genome expression data with protein-protein interactions. (2002, background): “In particular, functional assignment of uncharacterized genes can take place through transferring the annotation from a characterized gene (gathered from databases such as the catalog of the Munich Information Center for Protein Sequences (MIPS) or Gene Ontology (Ashburner et al. 2000; Mewes et al. ”
- Discrimination between paralogs using microarray analysis: application to the Yap1p and Yap2p transcriptional networks. (2002, methodology): “Using the MIPS database (Mewes et al., 1999), we asked whether the Yap1p- and Yap2p-dependent genes were enriched for particular functions.”
- Identification of functional modules using network topology and high-throughput data (2007, unknown): “…used four annotation databases: (a) GO "biological process" ontology (level 7; 474 categories) [29]; (b) GO complexes annotation (subterms of "protein complex" term, 213 com-BMC plexes); (c) MIPS deletion phenotype annotations [30] (181 phenotypes); (d) KEGG molecular pathways (310 pathways) [14].”