GapMind for catabolism of small carbon sources

 

Aligments for a candidate for araF in Pseudomonas fluorescens FW300-N2E2

Align L-arabinose-binding periplasmic protein; ABP (characterized)
to candidate Pf6N2E2_5968 L-arabinose-binding periplasmic protein precursor AraF (TC 3.A.1.2.2)

Query= SwissProt::P02924
         (329 letters)



>lcl|FitnessBrowser__pseudo6_N2E2:Pf6N2E2_5968 L-arabinose-binding
           periplasmic protein precursor AraF (TC 3.A.1.2.2)
          Length = 334

 Score =  375 bits (962), Expect = e-108
 Identities = 189/322 (58%), Positives = 242/322 (75%), Gaps = 2/322 (0%)

Query: 6   KALAAIGLAAVMSQSAMAENLKLGFLVKQPEEPWFQTEWKFADKAGKDLGFEVIKIAVPD 65
           +A  A+   ++ S    A+ +K+GFLVKQ EEPWFQTEW FA+KA KD GF++IKIAVPD
Sbjct: 12  RAALAVTAVSLSSHLLAADAVKIGFLVKQAEEPWFQTEWAFAEKAAKDKGFQLIKIAVPD 71

Query: 66  GEKTLNAIDSLAASGAKGFVICTPDPKLGSAIVAKARGYDMKVIAVDDQFVNAKGKPMDT 125
           GEKTL+AIDSLAA+GAKGFVIC PD  LG AIVAKA+  DMKVIAVDD+FV + GK M+ 
Sbjct: 72  GEKTLSAIDSLAANGAKGFVICPPDVSLGPAIVAKAKLNDMKVIAVDDRFVGSDGKFMED 131

Query: 126 VPLVMMAATKIGERQGQELYKEMQKRGWDVKESAVMAITANELDTARRRTTGSMDALKAA 185
           VP + MAA ++G++QG  +  E +KRGWD K++  +  T NELDT ++RT GS+DALK A
Sbjct: 132 VPYLGMAAFEVGQKQGGAMAAEAKKRGWDWKDTYAVINTYNELDTGKKRTDGSVDALKKA 191

Query: 186 GFPEKQIYQVPTKSNDIPGAFDAANSMLVQHPE-VKHWLIVGMNDSTVLGGVRATEGQGF 244
           G P   I     K+ D+PG+ D+ NS LV+ P   K+ +I GMND+TVLGGVRATE  GF
Sbjct: 192 GMPADHILYSALKTLDVPGSMDSTNSALVKLPSAAKNLIIGGMNDNTVLGGVRATEAAGF 251

Query: 245 KAADIIGIGINGVDAVSELSKAQATGFYGSLLPSPDVHGYKSSEMLYNWVAKDVEPPKFT 304
           KAA++IGIGING DA+ EL K   +GF+GS+LPSP + GYK++EM+Y W+    EPPK+T
Sbjct: 252 KAANVIGIGINGTDAIGELKKPD-SGFFGSMLPSPHIEGYKTAEMMYEWITTGKEPPKYT 310

Query: 305 EVTDVVLITRDNFKEELEKKGL 326
            + +V LITR+NFK+ELEK GL
Sbjct: 311 AMDEVTLITRENFKQELEKIGL 332


Lambda     K      H
   0.315    0.132    0.381 

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: 374
Number of extensions: 17
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: 329
Length of database: 334
Length adjustment: 28
Effective length of query: 301
Effective length of database: 306
Effective search space:    92106
Effective search space used:    92106
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: 49 (23.5 bits)

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

Links

Downloads

Related tools

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