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MEPRDPSPEARSSDSESASASSSGSERDADPEPDKAPRRLTKRRFPGLRLFGHRKAITKSGLQHLAPPPP TPGAPCGESERQIRSTVDWSESAAYGEHIWFETNVSGDFCYVGEQYCVAKMLPKSAPRRKCAACKIVVHTPCIGQLEKINFRCKPSFRESGSRNVREPTFVRHHWVHRRRQDGKCRHCGKGFQQKFTFHSKEIVAISCSW CKQAYHSKVSCFMLQQIEEPCSLGVHAAVVIPPTWILRARRPQNTLKASKKKKRASFKRRSSKKGPEEGRWRPFIIRPTPSPLMKPLLVFVNPKSGGNQGAKIIQSFLWYLNPRQVFDLSQGGPREALEMYRKVHNLRIL ACGGDGTVGWILSTLDQLRLKPPPPVAILPLGTGNDLARTLNWGGGYTDEPVSKILSHVEEGNVVQLDRWDLRAEPNPEAGPEERDDGATDRLPLDVFNNYFSLGFDAHVTLEFHESREANPEKFNSRFRNKMFYAGTAF SDFLMGSSKDLAKHIRVVCDGMDLTPKIQDLKPQCIVFLNIPRYCAGTMPWGHPGEHHDFEPQRHDDGYLEVIGFTMTSLAALQVGGHGERLTQCREVLLTTAKAIPVQVDGEPCKLAASRIRIALRNQATMVQKAKRRS TAPLHSDQQPVPEQLRIQVSRVSMHDYEALHYDKEQLKEASVPLGTVVVPGDSDLELCRAHIERLQQEPDGAGAKSPMCHPLSSKWCFLDATTASRFYRIDRAQEHLNYVTEIAQDEIYILDPELLGASARPDLPTPTSP LPASPCSPTPGSLQGDAALPQGEELIEAAKRNDFCKLQELHRAGGDLMHRDHQSRTLLHHAVSTGSKEVVRYLLDHAPPEILDAVEENGETCLHQAAALGQRTICHYIVEAGASLMKTDQQGDTPRQRAEKAQDTELAAY LENRQHYQMIQREDQETAV

First, view the "k-NN" results by scrolling to the bottom of the page. The k-nearest neighbor (k-NN) algorithm takes theoutput of the many subprograms and determines a probability of localization at each candidatesite within the cell using all of the predictions.

What is the probability the sequence encodes a protein that is (a) secreted by vesicles?(b) localized to the endoplasmic reticulum? (c) cytoplasmic? or(d) localized to the nucleus?

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Now, scroll through the results of the subprograms. Clicking on the links will reveal a brief description of the algorithm each individual subprogram utilizes.

What is the localization prediction and reliability score produced by the NNCN subprogram, Reinhardt's methods forcytoplasmic/nuclear discrimination?

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The first two subprograms, PSG and GvH, are tools that predict N-terminal signal peptide sequences. Just after their results are listed, there is a statementsummarizing whether or not an N-terminal signal peptide has been predicted for the query sequence.

Do these subprograms predict an N-terminal signal peptide for the diacylglycerol kinase query?

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After looking over all the results, what is the most likely localization of our query protein?

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Read the title and abstract for this article on the Rat diacylglycerol kinase used for the query sequence.

Was PSORT able to predict the correct localization, using the sequence information alone?

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Return to the ExPASy tools , and scroll to the section entitled "primary structure analysis".Click on the link for the ProtParam tool. ProtParam is a suite of programs designed to predict various chemical and physical properties about a proteinfrom its sequence. ProtParam will yield an estimated extinction coefficient at selected wavelengths based on protein sequence (6) , an estimation of the in vivo half-life of the protein ( 7 8 9 10 ), an instability index (11) , an aliphatic index (12) , and an average value for hydropathicity (13) . Cut and paste the Rat diacylglycerolkinase sequence above into the query box and click on "compute parameters".

What is the molecular weight computed from the sequence?

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Source:  OpenStax, Bios 533 bioinformatics. OpenStax CNX. Sep 24, 2008 Download for free at http://cnx.org/content/col10152/1.16
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