GapMind for catabolism of small carbon sources

 

Aligments for a candidate for put1 in Phaeobacter inhibens BS107

Align proline dehydrogenase (EC 1.5.5.2) (characterized)
to candidate GFF3260 PGA1_c33110 sarcosine dehydrogenase

Query= BRENDA::Q8U022
         (378 letters)



>FitnessBrowser__Phaeo:GFF3260
          Length = 816

 Score =  150 bits (380), Expect = 9e-41
 Identities = 116/370 (31%), Positives = 176/370 (47%), Gaps = 29/370 (7%)

Query: 4   IIGGGIIGVATAYELAKLG-EEVVVFEKRYFGSGSTFRCASGIRAQFTDEANI-KLMKYS 61
           IIGGG+IG + AY L KLG ++VV+ E++   SG+T+  A+G+ AQ    AN+ KL KYS
Sbjct: 12  IIGGGVIGCSVAYHLTKLGWKDVVLLERKQLTSGTTWH-AAGLIAQLRATANMTKLAKYS 70

Query: 62  IERWKTLSEELGHNIMFQQTGYLFLATTEEEVEAFKKNIKLQNKFGVPTRLITPEEAKEI 121
            E +  L EE G    F++ G + +A TEE  E   +   +   FGV    I+PEE K  
Sbjct: 71  QELYGALEEETGVATGFKRCGSITVALTEERKEEIFRQAAMARAFGVEVEEISPEEVKTR 130

Query: 122 VPPLNADAFLAGAWNPEDGKASPFHTLYAYKKAGERLGVKFYEYTKVVGIEKDGSK---- 177
              LN     AG W P+DG+  P +   A  K   + G    E  KV GI K+G +    
Sbjct: 131 YEHLNVGDVTAGVWLPKDGQGDPANIALALAKGARQRGALVKERIKVTGISKEGRRATGV 190

Query: 178 -WKI--KTTRGEFKVDIIINATNAWAREINKMIGKDIIPVTPYKHQLVKTEPIERGQIEP 234
            W      ++G  + D+++N    W  E+ +M G + +P+   +H  + TE I      P
Sbjct: 191 DWASDDSQSQGHIEADMVVNCAGMWGHEVGRMAGVN-VPLHACEHFYIVTEGITGLTQMP 249

Query: 235 LVCPPAWNDSYVIQDGEDGGVICGTALEYESSP---DDVTPTYEF---------VKEVLK 282
           ++  P     Y     ED G I   A E  + P   + +  T+EF          + +L+
Sbjct: 250 VLRVPDECAYY----KEDAGKILLGAFEPNAKPWAMNGIPDTFEFDQLPEDFDHFEPILE 305

Query: 283 WAVKIIPALKHVHVVRQWAGHYAKTPDKNPAIGMIEE--NFYVAVGFSGHGFMMAPAVAQ 340
            A   +P L    +   + G  + TPD    +G+  E  N +VA GF+  G   A     
Sbjct: 306 AACNRMPMLAEAGIHTFFNGPESFTPDDAYHLGLAPEMDNVWVAAGFNSIGIQSAGGAGM 365

Query: 341 ALAEKIVEGK 350
           ALA+ + +G+
Sbjct: 366 ALAQWMEDGQ 375


Lambda     K      H
   0.318    0.137    0.420 

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: 751
Number of extensions: 42
Number of successful extensions: 4
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: 378
Length of database: 816
Length adjustment: 36
Effective length of query: 342
Effective length of database: 780
Effective search space:   266760
Effective search space used:   266760
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 (21.7 bits)
S2: 53 (25.0 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 (a fast alternative to protein BLAST) against a database of manually-curated proteins (most of which are experimentally characterized) or by using HMMer with enzyme models (usually from TIGRFam). 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. For diverse bacteria and archaea that can utilize a carbon source, there is a complete high-confidence catabolic pathway (including a transporter) just 38% of the time, and there is a complete medium-confidence pathway 63% of the time. 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 paper from 2022 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