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Query: [K] COG2390 Transcriptional regulator, contains sigma factor-related N-terminal domain, from VFDB

Results of FFAS03 search in VFDB
Master-slave alignment(slide right to see more) does not show gaps in the query sequence, use ali links to display alignment between query and templates.
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# Score Template Links and tools%idFirst MGRINELRMISRVAQMYFSEHKRQAEIAQHLNLSQATVSRMLKRAEAEGIVRTSIIPPPGTYSDLEAQLRERFDLPEAIVVDCSEDRDGAIMARIGEAAAHFLEVTLSQNEIIGVSSWSQTIFKMVENIHPLKGAKARYIVQTLGGMGDPSVQTHATQITTRLARLTEAEPKLLPVPGVATSREAKLLMLADPFVRETIDLFGSITLAIVGVGAVEPSELLARSGNIFSTKELADLAQAGAVGDISLRFFDKDGKPVKTPLDDRVIGLPLENLSNVDRVIALAGGLKKTEAIAGALRTGVIDVLVTDKFTAERLVGQETLast
1 -101.000[K] COG2390 Transcriptional regulator, contains sigma factor-related N-terminal domain  ali  100  1MGRINELRMISRVAQMYFSEHKRQAEIAQHLNLSQATVSRMLKRAEAEGIVRTSIIPPPGTYSDLEAQLRERFDLPEAIVVDCSEDRDGAIMARIGEAAAHFLEVTLSQNEIIGVSSWSQTIFKMVENIHPLKGAKARYIVQTLGGMGDPSVQTHATQITTRLARLTEAEPKLLPVPGVATSREAKLLMLADPFVRETIDLFGSITLAIVGVGAVEPSELLARSGNIFSTKELADLAQAGAVGDISLRFFDKDGKPVKTPLDDRVIGLPLENLSNVDRVIALAGGLKKTEAIAGALRTGVIDVLVTDKFTAERLVGQET 319
2 -12.200[G] COG0363 6-phosphogluconolactonase/Glucosamine-6-phosphate isomerase/deaminase  ali follow..  14  10............................................................................................AQVGKWAAAHIVKRINEFQVLGLPT-GGTPLATYKALIEMHKAGEVSFKHVV-GLAADHPESYRSFMYNNFFNHIDIQEENINLL----NGNTDDHEAECKRYEDKIKSYGKINLFMGGVGNDGHIAFNEPASSLSSRTRIKTLTEDTRIAN--SRFFDGD-----NQVPKYALTIGVGTLLDAQEIMILVTGHNKALALQAAVEGSVNHVIVCDEPSTQEL..... 247
3 -11.700[KH] COG1339 Transcriptional regulator of a riboflavin/FAD biosynthetic operon  ali follow..  12  11........KLAKMGAIGKEITVTMRELSRELDVSPQTVLRWLEELKEQGYIHKRESRKGTLVELTEKGINLLEKLYEEISTALYSGFIVGEVISGIGEGAYYVRQYAPLREYLGFDPYPGTLNVRVLFPKTIFDALCTARPIIIPGFTRNGRTFGDVRA---YRVRIDGIEGAIVIPSRTVHPPKIAEIIAPVKLRDALNLKDGDKVRI.............................................................................................................. 209
4 -10.700[S] COG2739 Uncharacterized protein conserved in bacteria  ali follow..  18  25...........SYVSFYYLDDYSLGEIAEEFEVSRQAIYDNIKRTEES---KLGMLRKYQQREKLFDQLEA........................................................................................................................................................................................................................................................ 87
5 -10.700[R] COG1342 Predicted DNA-binding proteins  ali follow..  18  44...........EALRLVDIEGLRQEDAASRVGISRRAFWEDLKSARMK----------------VAIALSKGKAIE................................................................................................................................................................................................................................................... 92
6 -10.300[K] COG3355 Predicted transcriptional regulator  ali follow..  11  33............LHILLQNGKMTTDDLSQKLNVTKASISKALNNLLDKGLIQREKAPAEKEERKG--RPNYIYWVEKERLYRKLEADLEKLAGTVKEALQKHTALEI.................................................................................................................................................................................................................... 125
7 -9.760[S] COG5606 Uncharacterized conserved small protein  ali follow..  10  26.....RAELVTIINNWIEQQGFSQAQAASALGVTQPRISELARGKIQIFSIDKLITMMAHAGLHIQRIEVQY....................................................................................................................................................................................................................................................... 92
8 -9.750[K] COG5625 Predicted transcription regulator containing HTH domain  ali follow..  14  20....KKNEIRIYRLLVEKRRGMRIREIQRELGISERSVRTHVLNLYRRGLLK........................................................................................................................................................................................................................................................................... 67
9 -9.720[R] COG3093 Plasmid maintenance system antidote protein  ali follow..  13  24....................GITSKALAEAMGVHRNTVSNLINGGVLTAPVAIKLAAALGNTPEFWLNIQHAVDLWDT................................................................................................................................................................................................................................................. 81
10 -9.300[KG] COG1349 Transcriptional regulators of sugar metabolism  ali follow..  11  1MKPRQRQAAILEH--LQKQGKCSVEELAQYFDTTGTTIRKDLVILENAGTVIRTYGGVVLNKEESDPPIDHK------------TLINTHKKALIAAAAVKY----IHDGDSIILDA-GSTVLQMVPLLSRFSNIDNEQTILMPGGTFRKKSASFHGQLAENAFEQFSFDKLFMGTDGIDLNVGVTTFNEVYTVSNAMCNAAREVILMA.............................................................................................................. 206
11 -9.230[S] COG4519 Uncharacterized protein conserved in bacteria  ali follow..  13  1MELSPVFARRLYLALLVESLEPNVPKLIEKTGWPRRTIQDVIKAMPGIGIE............................................................................................................................................................................................................................................................................ 52
12 -9.200[K] COG1846 Transcriptional regulators  ali follow..  16  48............IDAIGTDEGLLMKELAERLGVTKGAVSQLVDRLEAKALVRRTAHPKVSRGIQVV--LTDKGREAYRAHADMHAAFYEELQQSFTKEEIAIFEQCVSK.................................................................................................................................................................................................................. 142
FFAS is supported by the NIH grant R01-GM087218-01
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Selected papers from Godzik Lab
Ying Zhang, Ines Thiele, Dana Weekes, Zhanwen Li, Lukasz Jaroszewski, Krzysztof Ginalski, Ashley Deacon, John Wooley, Scott Lesley, Ian Wilson, Bernhard Palsson, Andrei Osterman, Adam Godzik. Three-Dimensional Structural View of the Central Metabolic Network of Thermotoga maritima. Science. 2009 Sep 18;325(5947):1544-9.

Mayya Sedova, Mallika Iyer, Zhanwen Li, Lukasz Jaroszewski, Kai W Post, Thomas Hrabe, Eduard Porta-Pardo, Adam Godzik Cancer3D 2.0:: interactive analysis of 3D patterns of cancer mutations in cancer subsets. Nucleic Acids Research, gky1098 2018; Published on November 8 2018.

Li W, Jaroszewski L, Godzik A. Tolerating some redundancy significantly speeds up clustering of large protein databases. Bioinformatics. 2002 Jan;18(1):77-82.