GapMind for Amino acid biosynthesis

 

Aligments for a candidate for tyrB in Shewanella sp. ANA-3

Align Aromatic-amino-acid transaminase (EC 2.6.1.57) (characterized)
to candidate 7024674 Shewana3_1852 histidinol phosphate aminotransferase (RefSeq)

Query= reanno::BFirm:BPHYT_RS14905
         (370 letters)



>lcl|FitnessBrowser__ANA3:7024674 Shewana3_1852 histidinol phosphate
           aminotransferase (RefSeq)
          Length = 401

 Score =  133 bits (335), Expect = 7e-36
 Identities = 103/333 (30%), Positives = 165/333 (49%), Gaps = 24/333 (7%)

Query: 41  SNENPLGMPESAQRAMAQAASELGRYPDANAFELKAALSERYGVPADWVTLGNGSNDILE 100
           +NE+P      A+  +    S+L RYP+     L  A S+  GV    +    G+++ +E
Sbjct: 80  ANESPFNNVAVAELDL----SKLNRYPECQPPALINAYSQYSGVVESKIVASRGADEAIE 135

Query: 101 IAAHAFVEKG-QSIVYAQYSFAVYALATQ--GLGARAIVVPAVKYGHDLDAMLAAVSDDT 157
           +   AF   G  SI     ++ +YA++ Q   +G +A+ + A +YG  L A  A  +   
Sbjct: 136 LLIRAFCVPGIDSIATFGPTYGMYAISAQTFNVGVKALSLTA-EYG--LPADFATAARGA 192

Query: 158 RLIFVANPNNPTGTFIEGPKLEAFLDKVPRHVVVVLDEAYTEYLPQEKRYDSIAWVRRYP 217
           +L+F+ NPNNPTGT I+  ++E  +  +P  +VVV DEAY E+ P+   Y     +  YP
Sbjct: 193 KLVFICNPNNPTGTVIDKARIEQAIQALPDAIVVV-DEAYIEFCPE---YSVADLLESYP 248

Query: 218 NLLVSRTFSKAFGLAGLRVGFAIAQPELTDLLNRVRQPFNVNTLAQAAAIAALNDKAFLE 277
           NL+V RT SKAF LAG R GF +A  E+ +++ RV  P+ V       A+ AL+      
Sbjct: 249 NLVVLRTLSKAFALAGARCGFLLANEEIIEIIMRVIAPYPVPLPVSEVAVQALSAAGIAR 308

Query: 278 KSA---ALNAQGYR---RLTEAFDKLGLEYVPSDGNFVLVRVGNDDAAGNRVNLELLKQG 331
                  LNAQG R    L    ++ G   +  +GN+VL     DD A  +V   L+  G
Sbjct: 309 MKTQVKELNAQGERLAAALNLYCEQWGGAVLTPNGNYVLAEF--DDVA--KVAQLLIDNG 364

Query: 332 VIVRPVGNYGLPQWLRITIGLPEENEAFIAALE 364
           ++ R   +  L + +R +     + +  ++  E
Sbjct: 365 IVARAYKDPRLAKAIRFSFSSQADTDRLVSLFE 397


Lambda     K      H
   0.318    0.135    0.385 

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: 364
Number of extensions: 19
Number of successful extensions: 5
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 2
Number of HSP's successfully gapped: 1
Length of query: 370
Length of database: 401
Length adjustment: 30
Effective length of query: 340
Effective length of database: 371
Effective search space:   126140
Effective search space used:   126140
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 (21.7 bits)
S2: 50 (23.9 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