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SSPAL |
Prediction of protein secondary structure by using local alignments.
Method is based on comparison of charcteristics, calculated for positions of processing sequence, such as aminoacid exposure to water, submergence of aminoacid residue into molecule body etc, with the same characteristics, obtained from analysis of PDB-files in database.
FASTA formatted sequence or specially prepared alignment (see example) can be used as an input. The number of aligned sequences must be less than 250 !!!
Input sequence for this program should be in fasta format with 80 or less sequence letters per line.
Overall 3-state (a, b, c) prediction gives about 75% correctly predicted residues. THIS ACCURACY IS REACHED WITHOUT USING MULTIPLE ALIGNMENT INPUT when it is higher SEE ALSO "SSP" and "NNSSP" programs.
Output results with probability of prediction:
>T0197 Length= 179 4849 27.1 10 20 30 40 50 PredSS aaa aaaaaaaaaaaaaaaa aaaaa bbbb b AA seq AHHHHHHGSEVEIKFKIKLEDFLHTLNTFNPEFVRYEEQEDVYFEVPRPK ProbA 86621110023345434467789876433134555333532111110010 ProbB 11233210135543452211100111211003333211123667732148 60 70 80 90 100 PredSS bbbb aaaaaaaaaaaaaaaaaaaaaaaaa aaaaaaaaaaa AA seq LLRIRGVHNLKKYYLTFKEILDENNEEFYEVEFEIGDFEKAVEVFKRLGF ProbA 00112332257899979999888878887796643227999999999422 ProbB 88753111111100010000000000001101222010000000000001 110 120 130 140 150 PredSS bbbbbb bbbbbb bbbbb bb bbbb aaaaaaaaaa AA seq KIQATIKKKRWVYKLNGVTLEVNRVEGIGDFVDIEVISDSPEEAKEKIWE ProbA 22112222322112111100001111111111000111116788999999 ProbB 55665521256776521667984751000034499763110000000000 160 170 PredSS aaaaa aaaaaaaaaaa AA seq VAKMLGLKEEDVEPRLYLELINELSGRSS ProbA 99996233323325799999998632211 ProbB 00001111110101100000000100122
An example of alignment (numbers of positions are not necessary):
ACTINOXANTHIN 5 107 10 20 30 40 50 60 APAFSVSPASGASDGQSVSVSVAAAGETYYIAQaAPVGGQDAaNPATATSFTTDASGAAS APAFSVSPASGLSDGQSVSVSGAAAGETYYIAQCAPVGGQDACNPATATSFTTDASGAAS APTATVTPSSGLSDGTVVKVAGAgaGTAYDVGQCAWVdgVLACNPADFSSVTADANGSAS APGVTVTPATGLSNGQTVTVSATgpGTVYHVGQCAVvpGVIGCDATTSTDVTADAAGKIT ATPKSSSGGAGASTGSGTSSAAVTSgaASSAQQSGLQGATGAGGGSSSTPGTQPGSGAGG 70 80 90 100 FSFTVRKSYAGQTPSGTPVGSVDbATDAbNLGAGNSGLNLGHVALTF FSFV-RKSYAGZTPSGTPVGSVDCATDACNLGAGNSGLNLGHVALTF TSLTVRRSFEGFLFDGTRWGTVDCTTAACQVGLSDAAGNGpgVAISF AQLKVHSSFQAVvaNGTPWGTVNCKVVSCSAGLGSDSGEGAAQAITF AIAARPVSAMGGtpPHTVPGSTNTTTTAMAGGVGGPgaNPNAAALM-
You can use small letters for amino acids, if you want.
Alignment MUST be without deletions in the 1-st (query) sequence!!!
Reference:
Salamov A.A., Solovyev V.V.
Protein secondary sturcture prediction using local alignments.
J.Mol.Biol.1977, 268,1, 31-36.
Salamov A.A., Solovyev V.V.
Prediction of protein secondary sturcture by combining nearest-neighbor algorithms
and multiply sequence alignments.
J.Mol.Biol.1995,247,1,11-15.