Basic Information

Gene Symbol
-
Assembly
GCA_947086415.1
Location
OX352313.1:13364630-13383662[-]

Transcription Factor Domain

TF Family
zf-C2H2
Domain
zf-C2H2 domain
PFAM
PF00096
TF Group
Zinc-Coordinating Group
Description
The C2H2 zinc finger is the classical zinc finger domain. The two conserved cysteines and histidines co-ordinate a zinc ion. The following pattern describes the zinc finger. #-X-C-X(1-5)-C-X3-#-X5-#-X2-H-X(3-6)-[H/C] Where X can be any amino acid, and numbers in brackets indicate the number of residues. The positions marked # are those that are important for the stable fold of the zinc finger. The final position can be either his or cys. The C2H2 zinc finger is composed of two short beta strands followed by an alpha helix. The amino terminal part of the helix binds the major groove in DNA binding zinc fingers. The accepted consensus binding sequence for Sp1 is usually defined by the asymmetric hexanucleotide core GGGCGG but this sequence does not include, among others, the GAG (=CTC) repeat that constitutes a high-affinity site for Sp1 binding to the wt1 promoter [1].
Hmmscan Out
# of c-Evalue i-Evalue score bias hmm coord from hmm coord to ali coord from ali coord to env coord from env coord to acc
1 19 3.5e-05 0.0039 19.0 1.5 1 23 241 263 241 263 0.98
2 19 2.3e-05 0.0026 19.5 3.9 1 23 269 291 269 291 0.97
3 19 1e-05 0.0011 20.7 0.4 1 23 297 319 297 319 0.98
4 19 7.1e-06 0.00079 21.1 1.2 1 23 325 347 325 347 0.98
5 19 0.00018 0.02 16.7 2.8 2 23 377 398 376 398 0.97
6 19 9.8e-05 0.011 17.6 1.9 1 23 404 426 404 426 0.93
7 19 3.9e-05 0.0043 18.8 2.4 1 23 432 454 432 454 0.98
8 19 7.5e-07 8.4e-05 24.2 1.2 1 23 460 482 460 482 0.99
9 19 0.053 5.9 9.0 3.9 1 23 488 511 488 511 0.91
10 19 1.2e-06 0.00014 23.6 0.6 1 23 519 541 519 541 0.98
11 19 0.058 6.5 8.8 0.8 1 17 585 601 585 602 0.87
12 19 0.00024 0.026 16.4 2.1 1 23 613 635 613 635 0.93
13 19 4.6e-05 0.0052 18.6 3.7 1 23 641 663 641 663 0.99
14 19 1e-06 0.00011 23.8 0.1 1 23 669 691 669 691 0.97
15 19 0.0016 0.18 13.7 6.5 1 23 697 720 697 720 0.97
16 19 0.0014 0.16 13.9 0.5 1 23 727 749 727 749 0.96
17 19 0.00015 0.017 17.0 0.6 1 23 766 788 766 788 0.98
18 19 5.7e-06 0.00064 21.4 3.0 1 23 794 816 794 816 0.98
19 19 0.00023 0.025 16.4 0.3 1 20 822 841 822 842 0.94

Sequence Information

Coding Sequence
ATGGAGGAGTTGCACTCGTGCAGTTGTTGTCTTGTGCGGCCTCCGGACAAAGGACTAAAGACCCTGTATAAGCATCTTGGCAAGACAGAAATATATTATGACATGCTGAAAGACTGCTTCGATATAAACCTTGGCATGGGAAATGACGAGTGTGGTATCTGCGAGGTGTGCGTGGCGCGGCTGCGGGACGCGAATGAGTTCAAGCAACAAGTGCAGCGCAGCCAGACTGAGCTGCAAATGCGGCTCAAAGGAGTGCTCACTGCTAGTAAGATAACTATAGCACATATAAATATAGTTTATGAAAATAAAGTAGACCCAGGTGTCTTTGGAGCGTCGACGTCGCGCGAGCGCACGTCTAGCGGCGACGCAGCGTCGGCGTCTCACCAGCGGCGCCGCAGCGTAGGCGCGGCGTCGACGCTAGGCGTGCGCTCGCTCGACGTCGACGCTCCAAAGACGCTAGTGTGGGGTGATCAATTCAAAATCAAGTTGGAGAAAGCTCCTGGAGATGAAACCGTCATACCAGACGATATTAAGCTGGAAAAGTCCGATGTGGAGATGGCCGACGGCGAGGTCGTATCGGTGGCCATATACGCTGAGCCACCATGGCAACCAGCAGCGGAACCCGCGCCCACCGCGTCGAACTGCATCTCCTTCACCCTGGTGCCATCGCCCACAAACCTCGTCGCGTCCAAGCCGGCTTCCAGGCGCGGTAAAAAAAAACATGAGTGCGACATCTGTAACAAAACTTTTATTAGCTCAACTGTACTTAATATCCATCGCCGGTCGCATACAAAAGAAAAGCCCTACGCGTGCAGTGTGTGCGACAAACGATTCATTCAAAAAAGTCACTTGAACACTCATTTCAAATATCATACTGGGAAGTTGAAATTCTCCTGCGATGTATGCGACAAGAAATTCCCGCTTAGAAGCCAATGGGTTATACATATGCGGACACATACTGATGAGAAACCGTTCTCGTGTGACACGTGCGGTAAATCTTTCAGGATTCTTTCCAACTTAAACGTTCACAAAAAAAGCCATTTGAAATATGATCCTAGTCGAGTAGAGCCAGGGGAAGTAAAAGCGTCCACTCAAGAATTAGAAGAGCAACAAACAGAAACAGTTTCCACGTGCCATATATGCAAAAAACAGTTTACAGAGGAAAGCTACTTAAATGTTCATTTAAAAAATCATTCCGGCGAGTATCCATTCAGTTGCGAAATTTGCGAAAAGAGGTTCAATAAGCAGTCAGAGTTGAATAATCACAAGTTCGATCACACGGGTGGAAAACCTTTTAAATGTAAAGAGTGCACTAAATCGTTTACATCAAGAACTGCTTTATACCTTCATTCAAGAATCCACACAGATGACGACAGGTTCACGTGCGATGTTTGTAACAAACAATTCGTGCAAAAAGAGGGTTTGACTCAACATATGCGGAAACACACCGGTGAAAAGCCGTACACCTGTGAGCTATGCCAAGGAAAATTCCGATACAGGTGTAGCTTGAGGAAACATTTATTCGACATACACAAGAAAATTATGGGTAAAAAGTTTCCTTGCAACATTTGTGAGAAACGATTTGTTTTTCAGAGTACTTTAGCGAAGCATATGGAAACCCACTCTGAGAAAGAAAAAAAAGATGAAGCTGAAAAAAGGTTAAAGGAACAAAATCGTGTAGAACCAGGCGAAATAACAGAAAGCAAACAAGAGTCAGAAGGGTCTATGGAGCAACCCACAGAACAGACGGTTTTCACATGTCATATATGCAAGAAACAGTTTTCAGGAGAAAACTATTTGAACAATAATTTAAATAACCACTCCGGAGATTATCCATTCAGTTGCGAAACTTGTGACAGGAGATTTAATACGCAGTATGCCCTGAACAATCATAAGTTTGATCACACGGGAGGAAAACCTTATAAGTGTGAAAAATGCGATAAACATTATTCATCCAAAAGCGGATACAATCTTCATTTAAAGATTCACACAGAGGATTATAGTTTCGCGTGCGATGTTTGTGACAAGAGATTCATACAAAAAGAAGGTTTAATTCAACACATGCGCATACACACCGGTGAGAAACCGTACACCTGCGAGATATGCCAGAAGAAGTTCCGACAGAGATGTGGCTTCAGACATCATTTACTAGTTAAACACAACCTGGCCGACAAACAATTTTGCTGCGATGTTTGTGGCAAACTGTTTGCATTACGAGGTTCTCTAGCTAAACATGTGGCCAAACACGCCGATAAAGAACTGGACGAGCAAGCTTTAAAGGAAAAGCGAAAGGAATATATGTGTGAAATATGTAGCAGACGATTTTCAACGAAAGGCATCTTAAAAAGTCATATAGAAACGCATTCAGATAAAAAACCTTTTGAGTGCGCAATTTGTCATAGGAAATTCAGGAAGAAGAGGAATTTACAGGACCACATGATGGTGCACGAGGACTTTAAACAACACGCGTGTGAAGTGTGTGGGCAGCAGTTCAGACATAAATCTGCTTTAACAGTGCATCTAGGTCTGGGTAATGACGAGTGTGGGATCTGCGAGGTGTGTGTGGCACGGCTGCGGGACGCGAATGACTTTAAGCAGCAAGTGCAGCGCAGCCAAGACGCACTACACAATCGGCTTAAGGGTGTACTAACTGCCAGTGACAAGCTGAAAATCAAGCTGGAGAAAGCAGCTGGAGATGAATCTGGCATAGGCGATATCAAGCTGGAGAAGTCTGAGGTGGAGATGGCTGATGGCGAGGTAGTATCAGGTATGTGCAGATTTCTAAAGGCAACGCGCATGTGA
Protein Sequence
MEELHSCSCCLVRPPDKGLKTLYKHLGKTEIYYDMLKDCFDINLGMGNDECGICEVCVARLRDANEFKQQVQRSQTELQMRLKGVLTASKITIAHINIVYENKVDPGVFGASTSRERTSSGDAASASHQRRRSVGAASTLGVRSLDVDAPKTLVWGDQFKIKLEKAPGDETVIPDDIKLEKSDVEMADGEVVSVAIYAEPPWQPAAEPAPTASNCISFTLVPSPTNLVASKPASRRGKKKHECDICNKTFISSTVLNIHRRSHTKEKPYACSVCDKRFIQKSHLNTHFKYHTGKLKFSCDVCDKKFPLRSQWVIHMRTHTDEKPFSCDTCGKSFRILSNLNVHKKSHLKYDPSRVEPGEVKASTQELEEQQTETVSTCHICKKQFTEESYLNVHLKNHSGEYPFSCEICEKRFNKQSELNNHKFDHTGGKPFKCKECTKSFTSRTALYLHSRIHTDDDRFTCDVCNKQFVQKEGLTQHMRKHTGEKPYTCELCQGKFRYRCSLRKHLFDIHKKIMGKKFPCNICEKRFVFQSTLAKHMETHSEKEKKDEAEKRLKEQNRVEPGEITESKQESEGSMEQPTEQTVFTCHICKKQFSGENYLNNNLNNHSGDYPFSCETCDRRFNTQYALNNHKFDHTGGKPYKCEKCDKHYSSKSGYNLHLKIHTEDYSFACDVCDKRFIQKEGLIQHMRIHTGEKPYTCEICQKKFRQRCGFRHHLLVKHNLADKQFCCDVCGKLFALRGSLAKHVAKHADKELDEQALKEKRKEYMCEICSRRFSTKGILKSHIETHSDKKPFECAICHRKFRKKRNLQDHMMVHEDFKQHACEVCGQQFRHKSALTVHLGLGNDECGICEVCVARLRDANDFKQQVQRSQDALHNRLKGVLTASDKLKIKLEKAAGDESGIGDIKLEKSEVEMADGEVVSGMCRFLKATRM

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
-