;  SAM: prettyalign v3.2 (July 31, 2000) compiled 08/11/00_16:27:51
;  (c) 1992-2000 Regents of the University of California, Santa Cruz
;
;          Sequence Alignment and Modeling Software System
;         http://www.cse.ucsc.edu/research/compbio/sam.html
;
; ----------------- Citations (SAM, SAM-T99, HMMs) --------------------
; R. Hughey, A. Krogh, Hidden Markov models for sequence analysis:
;  Extension and analysis of the basic method, CABIOS 12:95-107, 1996.
; K. Karplus, C. Barrett, R. Hughey, Hidden Markov models for detecting
;  remote protein homologies, Bioinformatics 14(10):846-856, 1999.
; A. Krogh et al., Hidden Markov models in computational biology:
;  Applications to protein modeling, JMB 235:1501-1531, Feb 1994.
; ---------------------------------------------------------------------
; Sequences correspond to the following labels:
; 1 T0087-181-end
; 2 gi|7674163|sp|O68579|PPAC_STRMU_181:310
; 3 gi|8134646|sp|Q9WZ56|PPAC_THEMA_417:544
; 4 gi|7462213|pir||D72359_436:563
; 5 gi|8134643|sp|P95765|PPAC_STRGC_182:310
; 6 gi|8134641|sp|O29502|PPAC_ARCFU_192:319
; 7 gi|2496072|sp|Q58025|PPAC_METJA_179:307
; 8 gi|8134645|sp|Q9RRB7|PPAC_DEIRA_178:310
; 9 gi|586817|sp|P37487|PPAC_BACSU_180:306
; 10 gi|9656203|gb|AAF94837.1|_177:296
              10         20        30            40        50        60
              |          |         |             |         |         |
   1 YGLAMLKAGTNL.ASKTAAQLVDIDAKTFELNG....SQVRVAQVNTVDINEVLERQNEIEEAIK
   2 YGLAMLKAGTNL.ASKTAAQLVDIDAKTFELNG....SQVRVAQVNTVDINEVLERQNEIEEAIK
   3 FAKKLLKEGMKIpEDVDPAELLKRDVKVYEMGE....ESFAVSQIMTSDFSTLLKEKERFMNTLK
   4 FAKKLLKEGMKIpEDVDPAELLKRDVKVYEMGE....ESFAVSQIMTSDFSTLLKEKERFMNTLK
   5 YGLAMLKAGTNL.ASKSAEELIDIDAKTFELNG....NNVRVAQVNTVDIAEVLERQAEIEAAIE
   6 FGVEIKAKLSAV.DDLTAMDIIKRDYKDFDMSG....KKVGVGQIELVDLSLIESRIDEIYEAMK
   7 FGMEILKAKSVV.GKLKPEEIINMDFKNFDFNG....KKVGIGQVEVIDVSEVESKKEDIYKLLE
   8 YALAMFAAKSDL.GNTPAETLLRMDYKVFPFGDpvqpQNWGIGVIETTNPAYVFGRQQELLAAMD
   9 YGLNMLKAGADL.SKKTVEELISLDAKEFTLGS....KKVEIAQVNTVDIEDVKKRQAELEAVIS
  10 FIKALLIAKTDI.EGLSAAQLVEKDLKAYPFNG....RELVVGQVELATLEQVADMIDALEADLQ


              70        80        90        100       110       120    
              |         |         |          |         |         |    
   1 ASQAANGYSDFVLMITDILNSNSEILALGNNTDKV.EAAFNFTLKNNHAFLAGAVSRKKQVVPQL
   2 ASQAANGYSDFVLMITDILNSNSEILALGNNTDKV.EAAFNFTLKNNHAFLAGAVSRKKQVVPQL
   3 TLKGEFGVKHFFVLFTNPVEEAS-LLMMDGDQKLV.EKAFNAEKKDGLFLLKGVMSRKKDFVPKI
   4 TLKGEFGVKHFFVLFTNPVEEAS-LLMMDGDQKLV.EKAFNAEKKDGLFLLKGVMSRKKDFVPKI
   5 KAIADNGYSDFVLMITDIINSNSEILAIGSNMDKV.EAAFNFVLENNHAFLAGAVSRKKQVVPQL
   6 KMKEEGGYAGIFLMLTDIMKEGTELLVVTDYPEVV.EKAFGKKLEGKSVWLDGVMSRKKQVVPPL
   7 EKLKNEGYDLIVFLITDIMKEGSEALVVGN-KEMF.EKAFNVKVEGNSVFLEGVMSRKKQVVPPL
   8 QVKAEDTLSGMLLSVVDILNETNRTLVLGATEAKVlREAFGAEAEGQVADLGNRISRKKQIVPTL
   9 KVVAEKNLDLFLLVITDILENDSLALAIGNEAAKV.EKAFNVTLENNTALLKGVVSRKKQVVPVL
  10 RRCDEESLALAALMLTDITTAQTRLLFKGEWSEKL.AKH----AKDGVLMMENTLSRKKQGWPWL


         130
          |
   1 TESFNG
   2 TESFNG
   3 GEVL--
   4 GEVL--
   5 TESFN-
   6 EKAF--
   7 ERAYNG
   8 EKYF--
   9 TDA---
  10 ------