GapMind for Amino acid biosynthesis

 

Aligments for a candidate for gly1 in Phaeobacter inhibens BS107

Align low-specificity L-threonine aldolase (EC 4.1.2.48) (characterized)
to candidate GFF2469 PGA1_c25010 low specificity L-threonine aldolase LtaE

Query= BRENDA::A0T1V9
         (348 letters)



>FitnessBrowser__Phaeo:GFF2469
          Length = 344

 Score =  289 bits (740), Expect = 6e-83
 Identities = 162/347 (46%), Positives = 214/347 (61%), Gaps = 6/347 (1%)

Query: 1   MIFSSDNWAGAHPAIAESLVTHAKGYASAYGTSELDRKVEERFSEVFER-DVAVFFVGTG 59
           M F+SDN   A+P I  +L     GYA  YG  E   KV     E+FE    AV+ V TG
Sbjct: 1   MHFASDNSGPANPEILTALSAANTGYAMGYGADEEMAKVTSCIREIFEAPQAAVYLVATG 60

Query: 60  TAANSLALSIANRAGGIAFCHREAHVNVDECGAPQFFSHGARLSAVGGARGKMDPAKLEA 119
           TAAN LALS  ++     FC R+AH+NVDEC  P+F++ GA+L+ V  A  KM PA L  
Sbjct: 61  TAANVLALSTLSQPWQTLFCTRQAHINVDECNGPEFYTGGAKLTLVSDA-DKMTPADLRQ 119

Query: 120 EIRRFPKENVHGGQPMAVTLTQATESGTVYSLGEIEAIASIARSQTLPLHMDGARFANAL 179
            +       VHG Q   V++TQ TE GTVY+L E+ A+  +++S  LP+H+DGARF NAL
Sbjct: 120 ALEGEENRGVHGPQRGPVSITQVTEFGTVYTLDELRALCDVSKSYGLPVHLDGARFTNAL 179

Query: 180 VSLGTTPAEMTWKRGIDLLSFGGTKNGCWCAEALVLFDPSRAQEMHFLRKRSAQLFSKSR 239
           VSLG TPAEMTWK G+D++SFGGTKNGC   EA++ FDP+ AQE  + RKR A LFSK R
Sbjct: 180 VSLGCTPAEMTWKAGVDVVSFGGTKNGCMGVEAVIFFDPAEAQEFEYRRKRGAHLFSKHR 239

Query: 240 FVAAQFDAYLAGDLWLDLARHANAMARRLADGITASAESRLAWAPDANEVFVVLKREAAS 299
           +++AQ  AYL  DLWL  A  ANA A RLA G+  +A +  +  P AN +F  L R    
Sbjct: 240 YLSAQMLAYLTDDLWLRNASAANAKAARLAAGL-RNAGAHFSHDPQANMIFAALPRATHQ 298

Query: 300 RLRQQGALFYDWEVPHDLEGSLAEDEGLFRLVTSFATRAEDVDRFVA 346
           RL   GA+++ W+    L+G+ AE+    R V  ++   + +D F+A
Sbjct: 299 RLFDAGAVYHLWD--GTLDGA-AEEAVTARFVCDWSVGDDQIDAFLA 342


Lambda     K      H
   0.320    0.132    0.394 

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: 342
Number of extensions: 13
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: 348
Length of database: 344
Length adjustment: 29
Effective length of query: 319
Effective length of database: 315
Effective search space:   100485
Effective search space used:   100485
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.4 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.9 bits)
S2: 49 (23.5 bits)

This GapMind analysis is from Aug 03 2021. The underlying query database was built on Aug 03 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, or see changes to Amino acid biosynthesis since the publication.

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