Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C544
  Reference Plasmid   NZ_CP028549.2
  Reference Plasmid Size   248112
  Reference Plasmid GC Content   0.52
  Reference Plasmid Mobility Type   mobilizable





Mutation sites in the plasmid cluster


The table lists mutations identified in the plasmid cluster.
Note: Mutations identified in this plasmid cluster are listed below. Click on a mutation ID to view full details..

mutid gname pos count tissue frequnt biotype consequence impact nucchange aachange
M0093481 JCLPGDPP_00198 188836 5 Skin 0.24 protein_coding missense_variant MODERATE 356A>G Lys119Arg
M0093482 JCLPGDPP_00198 188872 4 Skin 0.19 protein_coding missense_variant MODERATE 320T>C Phe107Ser
M0093483 JCLPGDPP_00198 188879 4 Skin 0.19 protein_coding missense_variant MODERATE 313C>T His105Tyr
M0093484 JCLPGDPP_00198 189025 4 Skin 0.19 protein_coding missense_variant MODERATE 167C>T Ala56Val
M0093485 JCLPGDPP_00046 41703 3 Skin 0.14 protein_coding synonymous_variant LOW 342A>C Ala114Ala






Analysis of virulence factors contributing to bacterial pathogenicity


This table presents virulence factors identified within the plasmid cluster.
      Note: Virulence factor analysis was performed using VFDB. Genes in plasmid clusters showing strong homology (identity > 70%, coverage > 70%, E-value < 1e-5) to known virulence factors are listed.

Gene Name vf_gene_id vf_name identity evalue qstart qend query_coverage subject_coverage vf_category gene_description condition
JCLPGDPP_00003 VFG043627 Type 3 fimbriae 96 3e-103 1 202 1.0 1 Biofilm type 3 fimbrial major pilin subunit MrkA experiment
JCLPGDPP_00004 VFG043626 Type 3 fimbriae 92.3 1.4e-120 1 233 1.0 1 Biofilm fimbrial chaperone protein mrkB precursor experiment
JCLPGDPP_00005 VFG043625 Type 3 fimbriae 88.6 0 1 828 1.0 1 Biofilm fimbrial biogenesis outer membrane usher protein mrkC precursor experiment
JCLPGDPP_00007 VFG043623 Type 3 fimbriae 81.9 4.5e-97 18 216 0.9213 0.9431 Biofilm type 3 fimbrial minor pilin subunit MrkF experiment
JCLPGDPP_00008 VFG048348 Type 3 fimbriae 76.7 4.3e-109 1 236 0.9916 0.9916 Biofilm phosphodiesterase experiment
JCLPGDPP_00018 VFG034679 Ibes 71.7 2e-182 1 459 0.9957 0.9978 Invasion Cu(+)/Ag(+) efflux RND transporter outer membrane channel CusC experiment
JCLPGDPP_00225 VFG000417 Pla 81.4 6e-151 1 311 1.0 0.9968 Exoenzyme plasminogen activator protease precursor experiment
PFLGJGEF_00003 VFG043627 Type 3 fimbriae 96 3e-103 1 202 1.0 1 Biofilm type 3 fimbrial major pilin subunit MrkA experiment
PFLGJGEF_00004 VFG043626 Type 3 fimbriae 92.3 1.4e-120 1 233 1.0 1 Biofilm fimbrial chaperone protein mrkB precursor experiment
PFLGJGEF_00005 VFG043625 Type 3 fimbriae 88.6 0 1 828 1.0 1 Biofilm fimbrial biogenesis outer membrane usher protein mrkC precursor experiment
PFLGJGEF_00007 VFG043623 Type 3 fimbriae 81.9 4.5e-97 18 216 0.9213 0.9431 Biofilm type 3 fimbrial minor pilin subunit MrkF experiment
PFLGJGEF_00008 VFG048348 Type 3 fimbriae 76.7 4.3e-109 1 236 0.9916 0.9916 Biofilm phosphodiesterase experiment
PFLGJGEF_00018 VFG034679 Ibes 71.7 2e-182 1 459 0.9957 0.9978 Invasion Cu(+)/Ag(+) efflux RND transporter outer membrane channel CusC experiment
PFLGJGEF_00225 VFG000417 Pla 81.4 6e-151 1 311 1.0 0.9968 Exoenzyme plasminogen activator protease precursor experiment
JCLPGDPP_00003 VFG048392 Type 3 fimbriae 100 1.5e-106 1 202 1.0 1 Biofilm type 3 fimbrial major pilin subunit MrkA prediction
JCLPGDPP_00004 VFG048381 Type 3 fimbriae 100 1.4e-127 1 233 1.0 1 Biofilm fimbrial chaperone protein mrkB precursor prediction
JCLPGDPP_00005 VFG048371 Type 3 fimbriae 98.9 0 1 828 1.0 1 Biofilm fimbrial biogenesis outer membrane usher protein mrkC precursor prediction
JCLPGDPP_00007 VFG042692 Type 3 fimbriae 99.1 1.5e-123 1 216 1.0 0.9774 Adherence MrkF prediction
JCLPGDPP_00008 VFG048341 Type 3 fimbriae 90.7 1.7e-125 1 236 0.9916 0.9916 Biofilm phosphodiesterase prediction
JCLPGDPP_00009 VFG048330 Type 3 fimbriae 82.5 6.6e-83 1 194 1.0 1 Biofilm LuxR family regulatory protein prediction
JCLPGDPP_00018 VFG034652 Ibes 71.7 3.9e-182 1 459 0.9957 0.9978 Invasion Cu(+)/Ag(+) efflux RND transporter outer membrane channel CusC prediction
JCLPGDPP_00225 VFG003087 Pla 81.7 1.2e-150 1 311 1.0 0.9968 Exoenzyme plasminogen activator protease precursor prediction
PFLGJGEF_00003 VFG048392 Type 3 fimbriae 100 1.5e-106 1 202 1.0 1 Biofilm type 3 fimbrial major pilin subunit MrkA prediction
PFLGJGEF_00004 VFG048381 Type 3 fimbriae 100 1.4e-127 1 233 1.0 1 Biofilm fimbrial chaperone protein mrkB precursor prediction
PFLGJGEF_00005 VFG048371 Type 3 fimbriae 98.9 0 1 828 1.0 1 Biofilm fimbrial biogenesis outer membrane usher protein mrkC precursor prediction
PFLGJGEF_00007 VFG042692 Type 3 fimbriae 99.1 1.5e-123 1 216 1.0 0.9774 Adherence MrkF prediction
PFLGJGEF_00008 VFG048341 Type 3 fimbriae 90.7 1.7e-125 1 236 0.9916 0.9916 Biofilm phosphodiesterase prediction
PFLGJGEF_00009 VFG048330 Type 3 fimbriae 82.5 6.6e-83 1 194 1.0 1 Biofilm LuxR family regulatory protein prediction
PFLGJGEF_00018 VFG034652 Ibes 71.7 3.9e-182 1 459 0.9957 0.9978 Invasion Cu(+)/Ag(+) efflux RND transporter outer membrane channel CusC prediction
PFLGJGEF_00225 VFG003087 Pla 81.7 1.2e-150 1 311 1.0 0.9968 Exoenzyme plasminogen activator protease precursor prediction







        Analysis of biocide and heavy metal resistance genes to assess antimicrobial risk and environmental impact


This table presents biocides and heavy metals resistance genes identified within the plasmid cluster.
      Note: Analyzing biocide and heavy metal resistance genes based on BacMet to evaluate bacterial resistance risk and the potential impact of environmental heavy metal contamination. Genes in plasmid clusters showing strong homology (identity > 70%, subject coverage > 70%, E-value < 1e-5) to known biocide and heavy metal resistance genes are listed.

Gene Name compound identity evalue qstart qend query_coverage subject_coverage group
JCLPGDPP_00015 Silver (Ag) 92.3 1.4e-70 1 143 1.0000 1.0000 experiment
JCLPGDPP_00016 Silver (Ag) 93.9 7.6e-257 1 491 1.0081 0.9960 experiment
JCLPGDPP_00017 Silver (Ag) 94.7 1.2e-116 1 226 1.0088 1.0000 experiment
JCLPGDPP_00018 Silver (Ag) 99.1 8.8e-255 1 461 1.0000 1.0000 experiment
JCLPGDPP_00019 Silver (Ag) 98.9 3.1e-47 28 117 0.7692 0.9375 experiment
JCLPGDPP_00020 Silver (Ag) 98.4 3.2e-243 1 430 1.0000 1.0000 experiment
JCLPGDPP_00021 Silver (Ag) 99.3 0 1 1048 1.0000 1.0000 experiment
JCLPGDPP_00023 Silver (Ag) 98.4 0 1 813 1.0012 0.9879 experiment
JCLPGDPP_00027 Copper (Cu) 100 0 1 605 1.0000 1.0000 experiment
JCLPGDPP_00028 Copper (Cu) 99.7 5.8e-175 3 298 0.9933 1.0000 experiment
JCLPGDPP_00029 Copper (Cu) 100 4.9e-67 1 126 1.0000 1.0000 experiment
JCLPGDPP_00030 Copper (Cu) 99.7 2.5e-165 1 309 1.0000 1.0000 experiment
JCLPGDPP_00031 Copper (Cu) 100 1.7e-126 1 226 1.0000 1.0000 experiment
JCLPGDPP_00032 Copper (Cu) 99.4 1.5e-262 1 466 1.0000 1.0000 experiment
JCLPGDPP_00033 Copper (Cu), Silver (Ag) 89.6 1e-63 1 144 1.0000 1.0000 experiment
JCLPGDPP_00170 Tellurium (Te) 99.5 6.3e-106 1 191 1.0000 1.0000 experiment
JCLPGDPP_00171 Tellurium (Te) 99 6.3e-106 1 192 1.0000 1.0000 experiment
JCLPGDPP_00172 Tellurium (Te) 99.4 3e-191 1 346 1.0000 1.0000 experiment
JCLPGDPP_00173 Tellurium (Te) 100 5.7e-62 1 118 0.7815 0.9672 experiment
JCLPGDPP_00174 Tellurium (Te) 98.8 9.1e-197 45 383 0.8851 1.0000 experiment
JCLPGDPP_00175 Tellurium (Te) 80.8 8.9e-92 1 193 0.9948 1.0000 experiment
PFLGJGEF_00015 Silver (Ag) 92.3 1.4e-70 1 143 1.0000 1.0000 experiment
PFLGJGEF_00016 Silver (Ag) 93.9 7.6e-257 1 491 1.0081 0.9960 experiment
PFLGJGEF_00017 Silver (Ag) 94.7 1.2e-116 1 226 1.0088 1.0000 experiment
PFLGJGEF_00018 Silver (Ag) 99.1 8.8e-255 1 461 1.0000 1.0000 experiment
PFLGJGEF_00019 Silver (Ag) 98.9 3.1e-47 28 117 0.7692 0.9375 experiment
PFLGJGEF_00020 Silver (Ag) 98.4 3.2e-243 1 430 1.0000 1.0000 experiment
PFLGJGEF_00021 Silver (Ag) 99.3 0 1 1048 1.0000 1.0000 experiment
PFLGJGEF_00023 Silver (Ag) 98.4 0 1 813 1.0012 0.9879 experiment
PFLGJGEF_00027 Copper (Cu) 100 0 1 605 1.0000 1.0000 experiment
PFLGJGEF_00028 Copper (Cu) 99.7 5.8e-175 3 298 0.9933 1.0000 experiment
PFLGJGEF_00029 Copper (Cu) 100 4.9e-67 1 126 1.0000 1.0000 experiment
PFLGJGEF_00030 Copper (Cu) 99.7 2.5e-165 1 309 1.0000 1.0000 experiment
PFLGJGEF_00031 Copper (Cu) 100 1.7e-126 1 226 1.0000 1.0000 experiment
PFLGJGEF_00032 Copper (Cu) 99.4 1.5e-262 1 466 1.0000 1.0000 experiment
PFLGJGEF_00033 Copper (Cu), Silver (Ag) 89.6 1e-63 1 144 1.0000 1.0000 experiment
PFLGJGEF_00170 Tellurium (Te) 99.5 6.3e-106 1 191 1.0000 1.0000 experiment
PFLGJGEF_00171 Tellurium (Te) 99 6.3e-106 1 192 1.0000 1.0000 experiment
PFLGJGEF_00172 Tellurium (Te) 99.4 3e-191 1 346 1.0000 1.0000 experiment
PFLGJGEF_00173 Tellurium (Te) 100 5.7e-62 1 118 0.7815 0.9672 experiment
PFLGJGEF_00174 Tellurium (Te) 98.8 9.1e-197 45 383 0.8851 1.0000 experiment
PFLGJGEF_00175 Tellurium (Te) 80.8 8.9e-92 1 193 0.9948 1.0000 experiment
JCLPGDPP_00015 Silver (Ag) 100 8e-75 1 143 1.0000 1.0000 prediction
JCLPGDPP_00016 Silver (Ag) 99.8 8.9e-275 1 491 1.0000 1.0000 prediction
JCLPGDPP_00017 Silver (Ag) 100 3e-124 1 226 1.0000 1.0000 prediction
JCLPGDPP_00018 Silver (Ag) 100 6.2e-254 1 461 1.0000 1.0000 prediction
JCLPGDPP_00019 Silver (Ag) 100 1.6e-60 1 117 1.0000 1.0000 prediction
JCLPGDPP_00020 Silver (Ag) 100 3.2e-244 1 430 1.0000 1.0000 prediction
JCLPGDPP_00021 Silver (Ag) 100 0 1 1048 1.0000 1.0000 prediction
JCLPGDPP_00023 Silver (Ag) 100 0 1 813 1.0000 1.0000 prediction
JCLPGDPP_00027 Copper (Cu) 100 0 1 605 1.0000 0.9967 prediction
JCLPGDPP_00028 Copper (Cu) 100 8.3e-175 1 298 1.0000 1.0000 prediction
JCLPGDPP_00029 Copper (Cu) 100 1.1e-64 1 126 1.0000 1.0000 prediction
JCLPGDPP_00030 Copper (Cu) 100 4.4e-163 1 309 1.0000 1.0000 prediction
JCLPGDPP_00031 Copper (Cu) 100 3.9e-124 1 226 1.0000 0.9741 prediction
JCLPGDPP_00032 Copper (Cu) 100 3.7e-262 1 466 1.0000 1.0000 prediction
JCLPGDPP_00033 Copper (Cu), Silver (Ag) 99.3 6e-70 1 144 1.0000 1.0000 prediction
JCLPGDPP_00084 Iron (Fe), Hydrogen Peroxide (H2O2) [class: Peroxides] 73.9 3.1e-59 6 158 0.9684 0.9871 prediction
JCLPGDPP_00170 Tellurium (Te) 100 4.9e-104 1 191 1.0000 1.0000 prediction
JCLPGDPP_00171 Tellurium (Te) 100 4.5e-105 1 192 1.0000 1.0000 prediction
JCLPGDPP_00172 Tellurium (Te) 99.7 1.3e-190 1 346 1.0000 1.0000 prediction
JCLPGDPP_00173 Tellurium (Te) 100 7.4e-79 1 151 1.0000 0.9869 prediction
JCLPGDPP_00174 Tellurium (Te) 100 4.7e-223 1 383 1.0000 1.0000 prediction
JCLPGDPP_00175 Tellurium (Te) 85 1.4e-93 1 193 0.9948 1.0000 prediction
PFLGJGEF_00015 Silver (Ag) 100 8e-75 1 143 1.0000 1.0000 prediction
PFLGJGEF_00016 Silver (Ag) 99.8 8.9e-275 1 491 1.0000 1.0000 prediction
PFLGJGEF_00017 Silver (Ag) 100 3e-124 1 226 1.0000 1.0000 prediction
PFLGJGEF_00018 Silver (Ag) 100 6.2e-254 1 461 1.0000 1.0000 prediction
PFLGJGEF_00019 Silver (Ag) 100 1.6e-60 1 117 1.0000 1.0000 prediction
PFLGJGEF_00020 Silver (Ag) 100 3.2e-244 1 430 1.0000 1.0000 prediction
PFLGJGEF_00021 Silver (Ag) 100 0 1 1048 1.0000 1.0000 prediction
PFLGJGEF_00023 Silver (Ag) 100 0 1 813 1.0000 1.0000 prediction
PFLGJGEF_00027 Copper (Cu) 100 0 1 605 1.0000 0.9967 prediction
PFLGJGEF_00028 Copper (Cu) 100 8.3e-175 1 298 1.0000 1.0000 prediction
PFLGJGEF_00029 Copper (Cu) 100 1.1e-64 1 126 1.0000 1.0000 prediction
PFLGJGEF_00030 Copper (Cu) 100 4.4e-163 1 309 1.0000 1.0000 prediction
PFLGJGEF_00031 Copper (Cu) 100 3.9e-124 1 226 1.0000 0.9741 prediction
PFLGJGEF_00032 Copper (Cu) 100 3.7e-262 1 466 1.0000 1.0000 prediction
PFLGJGEF_00033 Copper (Cu), Silver (Ag) 99.3 6e-70 1 144 1.0000 1.0000 prediction
PFLGJGEF_00084 Iron (Fe), Hydrogen Peroxide (H2O2) [class: Peroxides] 73.9 3.1e-59 6 158 0.9684 0.9871 prediction
PFLGJGEF_00170 Tellurium (Te) 100 4.9e-104 1 191 1.0000 1.0000 prediction
PFLGJGEF_00171 Tellurium (Te) 100 4.5e-105 1 192 1.0000 1.0000 prediction
PFLGJGEF_00172 Tellurium (Te) 99.7 1.3e-190 1 346 1.0000 1.0000 prediction
PFLGJGEF_00173 Tellurium (Te) 100 7.4e-79 1 151 1.0000 0.9869 prediction
PFLGJGEF_00174 Tellurium (Te) 100 4.7e-223 1 383 1.0000 1.0000 prediction
PFLGJGEF_00175 Tellurium (Te) 85 1.4e-93 1 193 0.9948 1.0000 prediction






        Analyzing antimicrobial resistance genes to assess bacterial resistance to antibiotics and other antimicrobial agents


This table presents antimicrobial resistance genes identified within the plasmid cluster.
      Note: Antimicrobial resistance was performed using CARD. Genes in plasmid clusters showing strong homology (identity > 70%, coverage > 70%, E-value < 1e-5) to known antimicrobial resistance genes are listed.

Gene Name aro_accession identity evalue qstart qend query_coverage subject_coverage drug_class amr_gene_family resistance_mechanism






Analysis of pathogenicity genes to explore pathogen-host interactions


This table presents host pathogen-host interactions within the plasmid cluster.
      Note: Analyzing pathogenicity-related genes using PHI-base to understand pathogen virulence mechanisms and their impact on host interactions. Genes in plasmid clusters showing strong homology (identity > 70%, subject coverage > 70%, and E-value < 1e-5) to known pathogenicity-related genes are listed.

Gene Name phi_molconn_id host gene_name identity evalue qstart qend query_coverage subject_coverage host_descripton disease_name function phenotype_of_mutant
JCLPGDPP_00003 PHI:6099 MrkA 95.5 3.9e-102 1 202 1.0000 1.0000 rodents pneumonia ferrous iron transporter unaffected pathogenicity
JCLPGDPP_00091 PHI:7477 orf82 (VK055_1982) 99.6 0 1 680 1.0000 1.0000 rodents pneumonia hypothetical protein unaffected pathogenicity
JCLPGDPP_00100 PHI:3531 pld1 80 3.4e-19 1 56 1.0000 1.0000 rodents urinary tract infection; nosocomial pneumonia; abdominal infection lipid metabolism loss of pathogenicity
PFLGJGEF_00003 PHI:6099 MrkA 95.5 3.9e-102 1 202 1.0000 1.0000 rodents pneumonia ferrous iron transporter unaffected pathogenicity
PFLGJGEF_00091 PHI:7477 orf82 (VK055_1982) 99.6 0 1 680 1.0000 1.0000 rodents pneumonia hypothetical protein unaffected pathogenicity
PFLGJGEF_00100 PHI:3531 pld1 80 3.4e-19 1 56 1.0000 1.0000 rodents urinary tract infection; nosocomial pneumonia; abdominal infection lipid metabolism loss of pathogenicity






        Analyzing carbohydrate-active enzyme genes to uncover mechanisms of nutrient degradation


This table presents carbohydrate-active enzyme genes identified within the plasmid cluster.
      Note: Annotation of carbohydrate-active enzyme genes was performed using CAZy to explore mechanisms of nutrient breakdown and utilization. Genes in plasmid clusters showing strong homology (identity > 70%, subject coverage > 70%, and E-value < 1e−5) to known CAZyme genes are listed.

Gene Name cazy_id identity evalue qstart qend query_coverage subject_coverage





        Analyzing transport proteins to understand bacterial strategies for substrate uptake and detoxification


This table presents transport proteins within the plasmid cluster.
      Note: Investigation of transport proteins based on TCDB to uncover bacterial mechanisms of substrate transport and environmental detoxification. Genes in plasmid clusters showing strong homology (identity > 70%, subject coverage > 70%, and E-value < 1e−5) to known transport protein entries are listed.

Gene Name tcid identity evalue qstart qend query_coverage subject_coverage class_field class_term subclass subclass_term family family_term
JCLPGDPP_00005 1.B.11.3.2 98.6 0 1 828 1.0000 1.0000 1 Channels/Pores 1.B β-Barrel Porins 1.B.11 The Outer Membrane Fimbrial Usher Porin (FUP) Family
JCLPGDPP_00018 1.B.17.3.4 99.1 3.3e-253 1 461 1.0000 1.0000 1 Channels/Pores 1.B β-Barrel Porins 1.B.17 The Outer Membrane Factor (OMF) Family
JCLPGDPP_00021 2.A.6.1.3 99.3 0 1 1048 1.0000 1.0000 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.6 The Resistance-Nodulation-Cell Division (RND) Superfamily
JCLPGDPP_00023 3.A.3.5.4 98.4 0 1 813 1.0000 0.9879 3 Primary Active Transporters 3.A P-P-bond-hydrolysis-driven transporters 3.A.3 The P-type ATPase (P-ATPase) Superfamily
JCLPGDPP_00025 1.A.34.1.3 99.6 4.3e-135 1 245 1.0000 1.0000 1 Channels/Pores 1.A α-Type Channels 1.A.34 The <i>Bacillus</i> Gap Junction-like Channel-forming Complex (GJ-CC) Family
JCLPGDPP_00028 1.B.76.1.5 99.7 2.2e-173 3 298 0.9933 1.0000 1 Channels/Pores 1.B β-Barrel Porins 1.B.76 The Copper Resistance Putative Porin (CopB) Family
JCLPGDPP_00030 9.B.62.1.1 99.7 9.5e-164 1 309 1.0000 1.0000 9 Incompletely Characterized Transport Systems 9.B Putative transport proteins 9.B.62 The Copper Resistance (CopD) Family
JCLPGDPP_00172 2.A.109.1.1 91 4.2e-176 1 346 1.0000 1.0000 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.109 The Tellurium Ion Resistance (TerC) Family
JCLPGDPP_00225 9.B.50.1.4 81.7 9.3e-151 1 311 1.0000 1.0000 9 Incompletely Characterized Transport Systems 9.B Putative transport proteins 9.B.50 The Outer Membrane Beta-barrel Endoprotease, Omptin (Omptin) Family
PFLGJGEF_00005 1.B.11.3.2 98.6 0 1 828 1.0000 1.0000 1 Channels/Pores 1.B β-Barrel Porins 1.B.11 The Outer Membrane Fimbrial Usher Porin (FUP) Family
PFLGJGEF_00018 1.B.17.3.4 99.1 3.3e-253 1 461 1.0000 1.0000 1 Channels/Pores 1.B β-Barrel Porins 1.B.17 The Outer Membrane Factor (OMF) Family
PFLGJGEF_00021 2.A.6.1.3 99.3 0 1 1048 1.0000 1.0000 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.6 The Resistance-Nodulation-Cell Division (RND) Superfamily
PFLGJGEF_00023 3.A.3.5.4 98.4 0 1 813 1.0000 0.9879 3 Primary Active Transporters 3.A P-P-bond-hydrolysis-driven transporters 3.A.3 The P-type ATPase (P-ATPase) Superfamily
PFLGJGEF_00025 1.A.34.1.3 99.6 4.3e-135 1 245 1.0000 1.0000 1 Channels/Pores 1.A α-Type Channels 1.A.34 The <i>Bacillus</i> Gap Junction-like Channel-forming Complex (GJ-CC) Family
PFLGJGEF_00028 1.B.76.1.5 99.7 2.2e-173 3 298 0.9933 1.0000 1 Channels/Pores 1.B β-Barrel Porins 1.B.76 The Copper Resistance Putative Porin (CopB) Family
PFLGJGEF_00030 9.B.62.1.1 99.7 9.5e-164 1 309 1.0000 1.0000 9 Incompletely Characterized Transport Systems 9.B Putative transport proteins 9.B.62 The Copper Resistance (CopD) Family
PFLGJGEF_00172 2.A.109.1.1 91 4.2e-176 1 346 1.0000 1.0000 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.109 The Tellurium Ion Resistance (TerC) Family
PFLGJGEF_00225 9.B.50.1.4 81.7 9.3e-151 1 311 1.0000 1.0000 9 Incompletely Characterized Transport Systems 9.B Putative transport proteins 9.B.50 The Outer Membrane Beta-barrel Endoprotease, Omptin (Omptin) Family