📄 emowse.txt
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protein Mw of 50 kDaltons to reduce the influence of random score accumulation in large proteins (>200 kDaltons). The final score is thus calculated as:Score = 50/(Pn x H) Where Pn is the product of n distribution scores and H the 'hit' protein molecular weight in kD. Important consequences of this type of scoring scheme are that matches with peptides of higher Mw carry more scoring weight, and that the non-random distribution of fragment molecular weights in proteins of different sizes is compensated for. Simulation studies In a simulation of scoring properties, 100 test proteins with masses between 10 kD and 100 kD were randomly selected from the OWL sequence database. The sets of all possible tryptic peptide masses for each protein were randomized and database searches performed with increasing numbers of fragments (default search parameters) until the test protein reached the top of the ranked scoring list. 99% of the test proteins were correctly identified using only five peptides or less (mean=3.6 peptides), with one example requiring six. These figures were surprisingly small considering that some of the proteins in the test sample generated more than 100 possible tryptic fragments. All 100 test examples were identified using 30% or less of the maximum number of available peptides. This distribution was somewhat dependent on protein size, as smaller proteins generally yield fewer peptide fragments. Thus, all proteins of 30 kD and over were identified using 13% or less of possible fragments (1 in 8), with all proteins of 40 kD and above requiring less than 10% (1 in 10). In this latter group, therefore, more than 90% of the potential information (all possible peptides) was redundant. For the simulation a 'unique' identification required matching not only of protein type (e.g. globin) but correct discrimination of type, species, and isoform or isozyme. Discrimination could be further improved by reducing the error tolerance to only +/- 1 Dalton (mean=2.7 peptides). Such accuracies are easily bettered using more sophisticated ESI/quadrupole or high-field FAB spectrometers, but the default search value (+/- 2 Daltons) compensates for the reduced accuracy obtainable from the smaller time-of-flight (TOF) instruments. Mass accuracies better than +/- 1 Dalton were not essential, and in fact the error tolerance could be relaxed to +/- 5 Daltons in many cases with little degradation in performance. The simulation thus clearly demonstrated the high degree of discrimination afforded by relatively few peptide masses, even with generous allowance for error.Usage Here is a sample session with emowse% emowse Protein identification by mass spectrometryInput protein sequence(s): tsw:*Peptide molecular weight values file: test.mowseWhole sequence molwt [0]: Output file [100k_rat.emowse]: Go to the input files for this example Go to the output files for this exampleCommand line arguments Standard (Mandatory) qualifiers: [-sequence] seqall Protein sequence(s) filename and optional format, or reference (input USA) [-infile] infile Peptide molecular weight values file -weight integer [0] Whole sequence molwt (Any integer value) [-outfile] outfile [*.emowse] Output file name Additional (Optional) qualifiers: (none) Advanced (Unprompted) qualifiers: -aadata datafile [Eamino.dat] Amino acids properties and molecular weight data file -frequencies datafile [Efreqs.dat] Amino acid frequencies data file -enzyme menu [1] Enzyme or reagent (Values: 1 (Trypsin); 2 (Lys-C); 3 (Arg-C); 4 (Asp-N); 5 (V8-bicarb); 6 (V8-phosph); 7 (Chymotrypsin); 8 (CNBr)) -pcrange integer [25] Allowed whole sequence weight variability (Integer from 0 to 75) -tolerance float [0.1] Tolerance (Number from 0.100 to 1.000) -partials float [0.4] Partials factor (Number from 0.100 to 1.000) Associated qualifiers: "-sequence" associated qualifiers -sbegin1 integer Start of each sequence to be used -send1 integer End of each 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 -odirectory3 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 Input files for usage example 'tsw:*' is a sequence entry in the example protein database 'tsw' File: test.mowse6082.85423.03086.32930.32424.72030.21399.61086.2 The input file is a list of molecular weights of the peptide fragments. One weight is allowed per line. The example file above is a Trypsin digest of the protein sw:100K_rat (produced by using the program digest). Each molecular weight must be on a line of its own. Masses (M not M[H+]) are accepted in any order (ascending,descending or mixed). Peptide masses can be entered as integers or floating-point values, the latter being rounded to the nearest integer value for the search. It is suggested that peptide masses should be selected from the range 700-4000 Daltons. This range balances the fact that very small peptides give little discrimination and minimizes the frequency of partially-cleaved peptides. As a general rule, users are advised to identify and remove peptide masses resulting from autodigestion of the cleavage enzyme (e.g tryptic fragments of trypsin), best obtained by MS analysis of control digests containing only the enzyme. Further information on the partial sequence and/or composition of the peptides can be given after the weight with a 'seq()' or 'comp()' specification. This should be formatted like:mw seq(...) comp(...) where mw is the molecular mass of the fragment, seq(...) is sequence information and comp(...) is composition information. A line may contain more than one sequence information qualifiers. For example: _________________________________________________________________7176 seq(b-t[pqt]ln)174414901433 comp(3[ed]1[p]) seq(gmde) __________________________________________________________________________ Sequence informationThe sequence information should be given in standardOne-character code. It should be preceded by a prefixas outlined in the table below, to indicate what type of sequenceit is.CAPTION: Prefixes to use with sequence information foremowse Prefix Meaning Example b- N->C sequence seq(b-DEFG) y- C->N sequence seq(y-GFED) *- Orientation unknown seq(*-DEFG)seq(*-GFED) n- N terminal sequence seq(n-ACDE) c- C terminal sequence seq(c-FGHI) The examples are all correct data for apeptide with a sequence ACDEFGHI. Note that *-DEFGwill search for both DEFG and GFEDBoth lower and upper case characters may be used for amino-acids.An unknown amino acid may be indicated by an 'X'.More than one amino acid may be specified for a position byputting them between square brackets.A line may contain several sequence informationqualifiers. An example for a peptide with the actualsequence ACDEFGHI might look like:12345 seq(n-AC[DE]) seq(c-HI) Composition Information Composition should consist of a number, followed by the corresponding amino acid between square brackets. For examplecomp(2[H]0[M]3[DE]*[K]) indicates a peptide which contains 2 histidines, no methionines, 3 acidic residues (glutamic or aspartic acid) and at least 1 lysine.Output file format Output files for usage example File: 100k_rat.emowseUsing data fragments of: 1086.2 1399.6 2030.2
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