1992
DOI: 10.1016/s0888-7543(05)80111-9
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A knowledge base for predicting protein localization sites in eukaryotic cells

Abstract: To automate examination of massive amounts of sequence data for biological function, it is important to computerize interpretation based on empirical knowledge of sequence-function relationships. For this purpose, we have been constructing a knowledge base by organizing various experimental and computational observations as a collection of if-then rules. Here we report an expert system, which utilizes this knowledge base, for predicting localization sites of proteins only from the information on the amino acid… Show more

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Cited by 1,435 publications
(884 citation statements)
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“…The presence of integral transmembrane (TM) domains was analysed with TMHMM version 2.0 (http://www.cbs.dtu.dk/services/TMHMM/) and PSORT II (http://psort.nibb.ac.jp). TMHMM predicts TM domains with a Hidden Markov Model based on the presence of hydrophobic regions of at least 18 residues (Krogh et al, 2001) and PSORT II uses the method that was described by Nakai and Kanehisa (1992) …”
Section: In Silico Analysismentioning
confidence: 99%
“…The presence of integral transmembrane (TM) domains was analysed with TMHMM version 2.0 (http://www.cbs.dtu.dk/services/TMHMM/) and PSORT II (http://psort.nibb.ac.jp). TMHMM predicts TM domains with a Hidden Markov Model based on the presence of hydrophobic regions of at least 18 residues (Krogh et al, 2001) and PSORT II uses the method that was described by Nakai and Kanehisa (1992) …”
Section: In Silico Analysismentioning
confidence: 99%
“…The deduced amino acid sequence of alfalfa mMDH (1467 bp, 343 amino acids) is similar at 86% of the positions when compared to watermelon mMDH. A putative pre-sequence of 23 amino acids is 61% similar to the watermelon mMDH targeting peptide and is predicted by the PSORT program (Nakai and Kanehisa, 1992) to direct this protein to mitochondria.…”
Section: Characterization Of Alfalfa Mdh Cdnasmentioning
confidence: 99%
“…Analysis of the NOCT orthologs in Fig. 3 using NucPred [96], cNLS Mapper [9799], and SeqNLS [100] tools did not predict nuclear localization, whereas PSORTII [101,102] predicted nuclear localization for Drosophila, X. laevis , and D. rerio NOCTB orthologs. Mitochondrial localization is predicted for several NOCT orthologs.…”
Section: Is Noct Activity Spatially Restricted?mentioning
confidence: 99%
“…Mitochondrial localization is predicted for several NOCT orthologs. PSORTII [101,102], TargetP [103], and MitoProt [104] all predict mitochondrial localization of X. tropicalis, R. norvegicus, H. sapiens, M. musculus , and D. rerio NOCTA. TargetP and MitoProt predictions indicate that D. rerio NOCTB is likely to be mitochondrial; however, this conflicts with the nuclear localization predicted by PSORTII.…”
Section: Is Noct Activity Spatially Restricted?mentioning
confidence: 99%