Alignments for a candidate for acs in Amycolatopsis halophila YIM 93223

GapMind for catabolism of small carbon sources

Alignments for a candidate for acs in Amycolatopsis halophila YIM 93223

Align propionate-CoA ligase (EC 6.2.1.17) (characterized)
to candidate WP_034269395.1 AMYHA_RS07525 propionyl-CoA synthetase

Query= BRENDA::A0A0G2K047
         (683 letters)



>NCBI__GCF_000504245.1:WP_034269395.1
          Length = 626

 Score =  671 bits (1730), Expect = 0.0
 Identities = 333/625 (53%), Positives = 431/625 (68%), Gaps = 3/625 (0%)

Query: 56  GEYKTHFAASVADPERFWGKAAEQISWYKPWTKTLENRYPPSTSWFVEGMLNICYNAIDR 115
           G Y   +  S+ADPE FW  AAE I W +  TK L++   P   WF +G LN  YNA+DR
Sbjct: 2   GAYAEVYDRSLADPEGFWLAAAEDIDWTRAPTKALDDGRAPLYRWFPDGELNTAYNALDR 61

Query: 116 HIENGQGDKIAIIYDSPVTDTKATISYKEVLEQVSKLAGVLVKQGVKKGDTVVIYMPMIP 175
           H+E G+G++ A+IYDSPVTDTK + +Y E+ + V+ +AG L   GV KGD V+IYMPM+P
Sbjct: 62  HVEAGRGEQPALIYDSPVTDTKTSYTYLELRDYVAIVAGALSSLGVGKGDRVIIYMPMVP 121

Query: 176 QAIYAMLACARIGAIHSLIFGGFASKELSTRIDHVKPKVVVTASFGIEPGRKVEYMPLLE 235
           +AI AMLACAR+GAIHS++FGGFA KEL+ R+D  +P V+V AS GIEP R VEY P++E
Sbjct: 122 EAIIAMLACARLGAIHSVVFGGFAPKELAARVDDAQPTVIVAASCGIEPTRVVEYKPIIE 181

Query: 236 EALRIGQHKPDRLLIYNRPNMEKVPLMSGRDLDWEEEMAKAQSHDCVPVLSEHPLYILYT 295
           +AL    H+PD +++  R        M+ RD+DW + +A A   D VPV +  PLYILYT
Sbjct: 182 DALATTTHQPDHVVMLQRQTATAE--MTERDVDWHDLVASASPVDPVPVAATDPLYILYT 239

Query: 296 SGTTGLPKGVVRPTGGYAVMLNWTMSSIYGLKPGEVWWAASDLGWVVGHSYICYGPLLHG 355
           SGTTG PKGVVR TGG+AV L W+M +IY + PG+VWW ASD+GWVVGHSYI YGPLL G
Sbjct: 240 SGTTGKPKGVVRDTGGHAVALAWSMRNIYDVAPGDVWWTASDVGWVVGHSYIVYGPLLIG 299

Query: 356 NTTVLYEGKPVGTPDAGAYFRVLAEHGVAALFTAPTAIRAIRQQDPGAALGKQYSLTRFK 415
            TTVLYEGKPVGTPDAGA++RV++EH   ALFTAPTA+RAI++ DP A+   +Y L+ F+
Sbjct: 300 ATTVLYEGKPVGTPDAGAFWRVISEHRAKALFTAPTALRAIKKIDPKASEVAKYDLSAFE 359

Query: 416 TLFVAGERCDVETLEWSKKVFRVPVLDHWWQTETGSPITASCIGLGNSKTPPPGQAGKCV 475
           TLF+AGER D ET  W+     VPV+DHWWQTETG PI A+  GL  +    PG A   V
Sbjct: 360 TLFLAGERLDPETYHWAHDTLGVPVIDHWWQTETGWPIAANPRGL-ETLPVKPGSATVPV 418

Query: 476 PGYNVMILDDNMQKLKARSLGNIVVKLPLPPGAFSGLWKNQEAFKHLYFEKFPGYYDTMD 535
           PGY++ +LD    ++ A   G I +KLPLPPG    LW + + +   Y  ++ GYY T D
Sbjct: 419 PGYDIQVLDQRGNQVPAGQEGAIAIKLPLPPGTLLTLWGDDDRYVESYLSRYEGYYLTGD 478

Query: 536 AGYMDEEGYLYVMSRVDDVINVAGHRISAGAIEESVLSHGTVTDCAVVGKEDPLKGHVPL 595
           +GY+D +GYL+VM R DDVINVAGHR+S G+IE ++ SH  V +CAV+G  D LKG VP 
Sbjct: 479 SGYLDADGYLFVMGRTDDVINVAGHRLSTGSIEAALASHPAVAECAVIGVHDELKGQVPR 538

Query: 596 ALCVLKKDVNATEEQVLEEIVKHVRQSIGPVAAFRNAVFVKQLPKTRSGKIPRSTLSALV 655
              VLK  V+  E  + +E+V+ VR+ +GPVAAFR+   V  LPKTRSGKI R T+  + 
Sbjct: 539 GFVVLKSGVDVEESTLHDELVEAVRRDVGPVAAFRDVSVVDALPKTRSGKILRKTMRGIA 598

Query: 656 NGKPYKVTPTIEDPSIFGHIEEVLK 680
           +G+   V  TIED  +   +  VL+
Sbjct: 599 DGRDEPVPSTIEDVGVLDSLRAVLR 623


Lambda     K      H
   0.318    0.136    0.421 

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: 1237
Number of extensions: 59
Number of successful extensions: 3
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: 683
Length of database: 626
Length adjustment: 38
Effective length of query: 645
Effective length of database: 588
Effective search space:   379260
Effective search space used:   379260
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: 54 (25.4 bits)

This GapMind analysis is from Sep 24 2021. The underlying query database was built on Sep 17 2021.

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Candidates (tab-delimited)
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Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
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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:

ublast finds a hit to a characterized protein at above 40% identity and 80% coverage, and bits >= other bits+10.
- (Hits to curated proteins without experimental data as to their function are never considered high confidence.)
HMMer finds a hit with 80% coverage of the model, and either other identity < 40 or other coverage < 0.75.

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:

ublast finds a hit at above 40% identity and 70% coverage (ignoring otherBits).
ublast finds a hit at above 30% identity and 80% coverage, and bits >= other bits.
HMMer finds a hit (regardless of coverage or other bits).

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:

our ignorance of proteins' functions,
omissions in the gene models,
frame-shift errors in the genome sequence, or
the organism lacks the pathway.

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
the source code
instructions for running GapMind on your computer

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

GapMind for catabolism of small carbon sources