GapMind for catabolism of small carbon sources

 

Aligments for a candidate for SMc02873 in Herbaspirillum seropedicae SmR1

Align N-Acetyl-D-glucosamine ABC transport system, periplasmic substrate-binding component (characterized)
to candidate HSERO_RS22735 HSERO_RS22735 sugar ABC transporter substrate-binding protein

Query= reanno::Smeli:SMc02873
         (419 letters)



>lcl|FitnessBrowser__HerbieS:HSERO_RS22735 HSERO_RS22735 sugar ABC
           transporter substrate-binding protein
          Length = 420

 Score =  476 bits (1225), Expect = e-139
 Identities = 224/402 (55%), Positives = 287/402 (71%), Gaps = 2/402 (0%)

Query: 16  LGSAGLAQAQDATLTIESWRNDDLAIWQEKLIPAFEAKNPGIKVVFAPSAPTEYNAALNA 75
           LGS   A +Q  TLTIESWR DDL +WQE LIPAF+  NPGI V F+P+APTEY+++L A
Sbjct: 19  LGSLAAAPSQAGTLTIESWRVDDLPLWQEVLIPAFQRSNPGITVKFSPTAPTEYDSSLAA 78

Query: 76  KLDAGSAGDLITCRPFDASLELYNKKHLADLTGLSGMENFSDVAKSAWTTDDGKATFCVP 135
           ++  G+AGDL+ CRPFD SL LYNK HL  L G  GME F+  AK+AW TDDG+ TFC+P
Sbjct: 79  RMAGGTAGDLVACRPFDVSLSLYNKGHLEKLDGKPGMEFFAPAAKAAWQTDDGRDTFCMP 138

Query: 136 MASVIHGFIYNKDAFDQLGLSVPATEEEFFAVLEKIKADGNYIPMAMGTKDLWEAATMGY 195
           MASVIHGF YN   F +L L  P TE EFF +L+ +KA+G Y P+ MGT + WE+  + +
Sbjct: 139 MASVIHGFFYNTKIFKELNLEPPKTEAEFFKLLDTVKANGKYAPLVMGTAEQWESHQVLF 198

Query: 196 QNIGPNYWKGEEGRLALLKGEQKLTDEPWVEPFRVLAKWKDYLGDGFEAQTYPDSQNLFT 255
            +IGPNYWKGEEGR AL+ G+ K TD  +V  +   AK   YL  G  AQTY DSQN+F 
Sbjct: 199 TSIGPNYWKGEEGRKALIAGKAKFTDPQFVAAWNYEAKLGKYLPKGASAQTYSDSQNMFA 258

Query: 256 LGRAAIYPAGSWEISGFNTQAEFKMGAFPPPVKKAGDTCYISDHNDIGIGLNAKSKNADA 315
           LG+ A+YPAGSW+I+ FN + +F   AFPPPV K GD CYISDHNDIG+G+N KSKN + 
Sbjct: 259 LGKGAVYPAGSWDIAYFNGKMDF--AAFPPPVPKNGDACYISDHNDIGMGINKKSKNKED 316

Query: 316 AKTFLTWVASPEFAEIYANALPGFFSLNSTAVKMSDPLAQEFVSWREKCKPTIRSTYQIL 375
           A  FL W+ S EFA++Y N + GFFSL++  + + DP+A++ + WR+ C  TIR   QIL
Sbjct: 317 AYKFLAWLGSQEFADLYTNKVTGFFSLSNHLISVKDPIAKQMMGWRKNCASTIRVNSQIL 376

Query: 376 SRGTPNLENETWVMSANVINGTDTPEAAAKKLQDGLDSWFKP 417
           +RGTP++ENE W ++A V+NG  TP+ AA K+Q G   W+KP
Sbjct: 377 NRGTPSMENEMWNVNAQVLNGKMTPQDAAAKIQSGFAKWYKP 418


Lambda     K      H
   0.315    0.132    0.401 

Gapped
Lambda     K      H
   0.267   0.0410    0.140 


Matrix: BLOSUM62
Gap Penalties: Existence: 11, Extension: 1
Number of Sequences: 1
Number of Hits to DB: 580
Number of extensions: 22
Number of successful extensions: 2
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 1
Number of HSP's successfully gapped: 1
Length of query: 419
Length of database: 420
Length adjustment: 32
Effective length of query: 387
Effective length of database: 388
Effective search space:   150156
Effective search space used:   150156
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.3 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.6 bits)
S2: 50 (23.9 bits)

This GapMind analysis is from Sep 17 2021. The underlying query database was built on Sep 17 2021.

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About GapMind

Each pathway is defined by a set of rules based on individual steps or genes. Candidates for each step are identified by using ublast against a database of manually-curated proteins (most of which are experimentally characterized) or by using HMMer. Ublast hits may be split across two different proteins.

A candidate for a step is "high confidence" if either:

where "other" refers to the best ublast hit to a sequence that is not annotated as performing this step (and is not "ignored").

Otherwise, a candidate is "medium confidence" if either:

Other blast hits with at least 50% coverage are "low confidence."

Steps with no high- or medium-confidence candidates may be considered "gaps." For the typical bacterium that can make all 20 amino acids, there are 1-2 gaps in amino acid biosynthesis pathways. Gaps may be due to:

GapMind relies on the predicted proteins in the genome and does not search the six-frame translation. In most cases, you can search the six-frame translation by clicking on links to Curated BLAST for each step definition (in the per-step page).

For more information, see the paper from 2019 on GapMind for amino acid biosynthesis, the preprint on GapMind for carbon sources, or view the source code.

If you notice any errors or omissions in the step descriptions, or any questionable results, please let us know

by Morgan Price, Arkin group, Lawrence Berkeley National Laboratory