📄 epestfind.txt
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epestfind Function Finds PEST motifs as potential proteolytic cleavage sitesDescription epestfind allows rapid and objective identification of PEST motifs in protein target sequences. Briefly, the PEST hypothesis was based on a literature survey that combined both information on protein stability as well as protein primary sequence information. Initially, the study relied on 12 short-lived proteins with well-known properties [1], but was continually extended later [2,3]. The initial group of proteins included E1A, c-myc, p53, c-fos, v-myb, P730 phytochrome, heat shock protein 70 (HSP 70), HMG-CoA reductase, tyrosine aminotransferase (TAT), ornithine decarboxylase (ODC), alpha-Casein and beta-Casein. Although all these proteins exerted various different cellular functions it became apparent that they shared high local concentrations of amino acids proline (P), glutamic acid (E), serine (S), threonine (T) and to a lesser extent aspartic acid (D). From that it was concluded that PEST motifs reduce the half-lives of proteins dramatically and hence, that they target proteins for proteolytic degradation. PEST means Black Death in German, so that the name of this programme sounds a bit strange, at least in our ears.Algorithm PEST motifs were defined as hydrophilic stretches of at least 12 amino acids length with a high local concentration of critical amino acids. Remarkably, negatively charged amino acids are clustered within these motifs while positively charged amino acids, arginine (R), histidine (H) and lysine (K) are generally forbidden. The epestfind algorithm defines the last criterion even more stringently in that PEST motifs are required to be flanked by positively charged amino acids. Though this implication greatly facilitates computer scanning, a few PEST sequences might be missed. Especially sequences with a high local concentration of critical amino acids but with a long distance between positively charged amino acids are error prone. Due to their length, these PEST motifs might become diluted, which results in scores apparently lower than initially expected. Another side effect of scanning for positively charged amino acids is that very long PEST motifs are sub-divided into adjacent smaller ones. However, identification of PEST motifs is achieved by an initial scan for positively charged amino acids arginine (R), histidine (H) and lysine (K) within the specified protein sequence. All amino acids between the positively charged flanks are counted and only those motifs are considered further, which contain a number of amino acids equal to or higher than the window-size parameter. Additionally, all 'valid' PEST regions are required to contain at least one proline (P), one aspartate (D) or glutamate (E) and at least one serine (S) or threonine(T). Sequences that do not meet the above criteria are classified as 'invalid' PEST motifs and excluded from further analysis. The quality of 'valid' PEST motifs is refined by means of a scoring parameter based on the local enrichment of critical amino acids as well as the motif's hydrophobicity. Enrichment of D, E, P, S and T is expressed in mass percent (w/w) and corrected for one equivalent of D or E, one of P and one of S or T. Calculation of hydrophobicity follows in principle the method of J. Kyte and R.F. Doolittle [4]. For simplified calculations, Kyte-Doolittle hydropathy indices, which originally ranged from -4.5 for arginine to +4.5 for isoleucine, were converted to positive integers. This was achieved by the following linear transformation, which yielded values from 0 for arginine to 90 for isoleucine. Hydropathy index = 10 * Kyte-Doolittle hydropathy index + 45 The motif's hydrophobicity is calculated as the sum over the products of mole percent and hydrophobicity index for each amino acid species. The desired PEST score is obtained as combination of local enrichment term and hydrophobicity term as expressed by the following equation: PEST score = 0.55 * DEPST - 0.5 * hydrophobicity index. Although, the formula above differs from the publication [1], it is in fact the correct one, which was also implemented in the original BASIC programme (personal communication). In addition, the programme includes a correction for the hydropathy index of tyrosine, introduced by Robert H. Stellwagen from the University of Southern California. However, PEST scores can range from -45 for poly-isoleucine to about +50 for poly-aspartate plus one proline and one serine. 'Valid' PEST motifs below the threshold score (5.0) are considered as 'poor', while PEST scores above the threshold score are of real biological interest. The higher the PEST score, the more likely is degradation of proteins mediated via 'potential' PEST motifs in eukaryotic cells. Presently, all modified Kyte-Doolittle hydropathy indices are hard-coded into the programme, which might change in future. The array of linear transformed Kyte-Doolittle hydropathy indices (ltkdhi) is listed in alphabetical order below. (A-M and N-Z as well as N-terminus and C-terminus) 63, 10, 70, 10, 10, 72, 41, 13, 90, 0, 6, 82, 64, 10, 0, 29, 10, 0, 36, 38, 0, 87, 36, 45, 58, 10, 0, 0 The linear transformation was ltkdhi = 10 * kdhi + 45 All values range from Argine R = 0 to Isoleucine I = 90 B=(N|D)=10 since N=10 and D=10 Z=(Q|E)=10 since Q=10 and E=10 X=10*0+45=45Usage Here is a sample session with epestfind% epestfind -graph cps -invalid Finds PEST motifs as potential proteolytic cleavage sitesInput protein sequence: exu2_drops.emblWindow length [10]: Sort order of results 1 : length 2 : position 3 : scoreSort order of results [score]: Output file [exu2_drops.epestfind]: Created epestfind.ps Go to the input files for this example Go to the output files for this exampleCommand line arguments Standard (Mandatory) qualifiers: [-sequence] sequence Protein sequence USA to be analysed. -window integer [10] Minimal distance between positively charged amino acids. (Integer 2 or more) -order selection [score] Name of the output file which holds the results of the analysis. Results may be sorted by length, position and score. [-outfile] outfile [*.epestfind] Name of file to which results will be written. -graph xygraph [$EMBOSS_GRAPHICS value, or x11] Graph type (ps, hpgl, hp7470, hp7580, meta, cps, x11, tekt, tek, none, data, xterm, png) Additional (Optional) qualifiers: -aadata datafile [Eamino.dat] Amino acids properties and molecular weight data file -threshold float [+5.0] Threshold value to discriminate weak from potential PEST motifs. Valid PEST motifs are discriminated into 'poor' and 'potential' motifs depending on this threshold score. By default, the default value is set to +5.0 based on experimental data. Alterations are not recommended since significance is a matter of biology, not mathematics. (Number from -55.00 to 55.00) Advanced (Unprompted) qualifiers: -[no]potential boolean [Y] Decide whether potential PEST motifs should be printed. -[no]poor boolean [Y] Decide whether poor PEST motifs should be printed. -invalid boolean [N] Decide whether invalid PEST motifs should be printed. -[no]map boolean [Y] Decide whether PEST motifs should be mapped to sequence. Associated qualifiers: "-sequence" associated qualifiers -sbegin1 integer Start of the sequence to be used -send1 integer End of the sequence to be used -sreverse1 boolean Reverse (if DNA) -sask1 boolean Ask for begin/end/reverse -snucleotide1 boolean Sequence is nucleotide -sprotein1 boolean Sequence is protein -slower1 boolean Make lower case -supper1 boolean Make upper case -sformat1 string Input sequence format -sdbname1 string Database name -sid1 string Entryname -ufo1 string UFO features -fformat1 string Features format -fopenfile1 string Features file name "-outfile" associated qualifiers -odirectory2 string Output directory "-graph" associated qualifiers -gprompt boolean Graph prompting -gdesc string Graph description -gtitle string Graph title -gsubtitle string Graph subtitle -gxtitle string Graph x axis title -gytitle string Graph y axis title -goutfile string Output file for non interactive displays -gdirectory string Output directory General qualifiers: -auto boolean Turn off prompts -stdout boolean Write standard output -filter boolean Read standard input, write standard output -options boolean Prompt for standard and additional values -debug boolean Write debug output to program.dbg -verbose boolean Report some/full command line options -help boolean Report command line options. More information on associated and general qualifiers can be found with -help -verbose -warning boolean Report warnings -error boolean Report errors -fatal boolean Report fatal errors -die boolean Report dying program messagesInput file format epestfind reads any normal protein sequence USA. Input files for usage example File: exu2_drops.emblID EXU2_DROPS STANDARD; PRT; 477 AA.AC Q24617;DT 01-NOV-1997 (Rel. 35, Created)DT 01-NOV-1997 (Rel. 35, Last sequence update)DT 01-NOV-1997 (Rel. 35, Last annotation update)DE Maternal exuperantia 2 protein.GN EXU2.OS Drosophila pseudoobscura (Fruit fly).OC Eukaryota; Metazoa; Arthropoda; Tracheata; Hexapoda; Insecta;OC Pterygota; Neoptera; Endopterygota; Diptera; Brachycera; Muscomorpha;OC Ephydroidea; Drosophilidae; Drosophila.OX NCBI_TaxID=7237;RN [1]RP SEQUENCE FROM N.A.RX MEDLINE=94350208; PubMed=8070663;RA Luk S.K.-S., Kilpatrick M., Kerr K., Macdonald P.M.;RT "Components acting in localization of bicoid mRNA are conserved amongRT Drosophila species.";RL Genetics 137:521-530(1994).CC -!- FUNCTION: ENSURES THE PROPER LOCALIZATION OF THE MRNA OF THECC BICOID GENE TO THE ANTERIOR REGIONS OF THE OOCYTE THUS PLAYINGCC A FUNDAMENTAL ROLE IN THE ESTABLISHMENT OF THE POLARITY OF THECC OOCYTE. MAY BIND THE BCD MRNA (BY SIMILARITY).CC --------------------------------------------------------------------------CC This SWISS-PROT entry is copyright. It is produced through a collaborationCC between the Swiss Institute of Bioinformatics and the EMBL outstation -CC the European Bioinformatics Institute. There are no restrictions on itsCC use by non-profit institutions as long as its content is in no way
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