Basic Information

Gene Symbol
L
Assembly
GCA_019009955.1
Location
GWHBAZH00000001:38455923-38496650[+]

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 21 3.2e-06 0.00018 21.8 1.6 1 23 60 82 60 82 0.98
2 21 0.21 12 6.6 6.5 1 23 88 110 88 110 0.98
3 21 3.3e-06 0.00019 21.8 2.0 1 23 116 138 116 138 0.99
4 21 7.4e-05 0.0043 17.5 0.2 1 23 144 166 144 166 0.98
5 21 0.016 0.92 10.2 0.1 3 23 188 209 188 209 0.93
6 21 0.0028 0.16 12.5 0.2 2 23 230 253 229 253 0.95
7 21 0.0053 0.31 11.7 0.0 2 23 278 300 277 300 0.94
8 21 0.027 1.6 9.4 0.7 2 23 311 333 310 333 0.92
9 21 1.1 64 4.4 0.4 3 23 393 413 392 413 0.97
10 21 0.31 18 6.1 0.1 2 23 430 451 429 451 0.96
11 21 0.00022 0.013 16.0 0.1 1 23 459 482 459 482 0.95
12 21 0.43 25 5.7 0.8 2 23 488 510 487 510 0.91
13 21 0.0004 0.023 15.2 2.2 2 23 557 578 556 578 0.97
14 21 0.01 0.59 10.8 3.4 1 23 588 610 588 610 0.97
15 21 0.02 1.1 9.9 1.5 2 23 618 639 617 639 0.96
16 21 4.7 2.7e+02 2.4 0.2 2 23 655 676 654 676 0.93
17 21 0.00056 0.033 14.8 0.4 2 23 713 735 712 735 0.94
18 21 0.17 9.9 6.9 0.3 2 21 740 759 739 760 0.91
19 21 0.081 4.7 8.0 0.0 2 23 771 792 770 792 0.95
20 21 0.026 1.5 9.5 1.5 1 23 800 822 800 822 0.96
21 21 0.012 0.71 10.5 1.7 1 23 829 851 829 851 0.95

Sequence Information

Coding Sequence
ATGGAGTTCAGGGGTAACTCGGACCGTCTCCAGCTCCTCATAGAGAAGATACAGGCTAACAAGGAGAACACCCCTTCCCAGCATCAAGAAGAAGGTGAAACAAGTGCTTCAGAAACTACTTCTGAGGCTGTGGATTCTGACTTGGGATTTAGTTTTGGAGTTACTGATACGACTCCCTACCAATGCCAGTTTTGTGATAAGGCATTCCCTCGTTTGAGTTATTTAAAAAAACATGAACAGTCTCACAGTGAACTTATGCCTTTTCGGTGTAATTTTTGTAGTCGATTATTTAAACACAAGAGAAGCAGAGATAGACATATAAAGTTACATACAGGGGATAAAAAATACCGATGCTCACAATGTGTAGCAGCATTTTCTAGAAGTGATCACCTCAAGATTCATATGAAAACTCATGATAATCAGAAACCTTATCAATGTGCCTATTGTAATCGTGGATACAATACAGCAGCTGCCTTGACATCCCACTTACAAAACCACAAAAGAGAGATAACATCACTGTCATCAAATAGTGATAATACAACACCGACATCAAAACTTGGATGCTCTCAATGTTCATTGGTCTTCATTAGCCCAGAAGAGTATACTATCCATATGGCAGATAAACACAGCAATATGGACAGGTCATCGAGAGTGAATACTTTTCATAATTATTCAAATTCAGAGCTTGTATGTCCATACTGTAAAAAAGAAAATTTTTCAAATTTGGAGGAGTTACAGTTGCATATTCAAACAAATCATGACGGCACCAGTAGTGGCAATGAAAATAAAACTGAACTTCCTCAAGGAAGTAATTTCTTTGGAGATGGACTCCCCTGTCCAGTCTGTAGTATTCCATTTTATTCTATAAAGTCTTTGAATGCACATATTTCTAATATCCATGGATCACATTATACTTCTGATTTAAATTTGTCTTGCAAGAAGTGTTTGATTTCTTTTTCAAATTCGAGATCTATGATAGAGCATTGGCTATATTTCCATGGAACAAGTGGTCCTAATGTCAATTCATCGCCTGATCAAACTAAACCAACAGATCTGAGTATGGTCCGAAAATTAAAAGATGACGAACAACCAAACAAAAAGAAGTTGAAAATCAAAGAATCTGATGCAACAGCAAATTCTCAGGACAGTGTCCAGTATGATCCAGGGACCTTATTATGCAATCAATGCAATGCAGCAATGCCTGATTTTGAATCTTTTAGGACTCATTTAAAATCACATTTGGAAGAGTCTTCCTCAAAGTCAGGAATGAACAAAATTAGGTTTTCAATGTGCTCTTATTGTAGAGTCCCAGTATCCTCTCTTCAAGAAATGGTGAAACATATTGGAACTCACATTCTTTCAACTGTTACTGAGTATTCATGTAATATATGTCAGAAGATTTTTTCAAGTGTTGCTGAACTTGATCAACACTTGATGGAAGTTCACTCTCATCATTTATTTCTTTGTTATGCCTGTAAAGAGGTGTTTGATACAAGTTTTGGAATTCAGAGGCACTTTAAAATTAAACACTCAAATGAAACGAAAAAGTTCACATGTCGACTGTGTCCATCATTCCCTCCCTTTCAATCTGAAATTGACTTTGAACTACACATTAGAAATTTCCATTGTGGATTTGATCCTTCTTTAACTTTTCAAAACGTCAGTCTGCAGTGCGCTTACTGTAATGAAAATTGTAAATCTAGAACAGAATTAGAAAATCATATGAAACTTCACTGCCAAAGTTCTATGAGTTTTGGAAAACATAAATGTAATATTTGTGATGAAATTTGTCATTCAGCATCAACTTTAGCTGAACATAAGCTGATGCACTGTAAGGTAATTTATGGGTCCACATGCTCACACTGCAAAGCAACAATAACAACGGAAGAAAATTTTCTTAGTCATATGATAAATCATAACAATGGTCTTTCAACTAAAGCATATCAGCTAGCATTGCCAGTTTCCTGTGTCATATGTCGACAAACATTGGTATCTGAATCGGAAACAAGGCTTCATGCAAAATTTCATTTGCAGATAGATGCAAGTCAATGTACAATGTGCCTTCAAATGTATAACAAAAGTGACTTAAATCAAAATGTTTGTTCCAATTGTTTGGAAGATCGGAAGTCACCAAAACAGTGTCCACAGTGTGACTTCCATTACATAACTGCCTCGGAACTAGAATCTCATATTTCAGAAGAACATAAAAAGATGCTGAAATGTAGCAATTGCCAGACCTATTTTGACAATAAAGAAGAATATGACTTACACCTTGAAACTTGCTCCTCATCTGATAACTATGATGAGCTTAAATGCAACATTTGTTTGCTTGTTTTGCCTAGTCAGCCAAAGCTACAAGCTCATTTGATAGAGCACACTTTTATTGGATGTGACAATTTCACATGTTACATATGCTGCTCTGTCTTCACTGTATCATCTGGTCTCCAAAGGCATATATCAGAACATGGTAGCTCATTGAAGCCTTATGTATGCACAAAATGCAAAATGAAATTTTTCTTCAGAGCTGAACTTGAAAATCACTCATATATACATCAAAAAAGTCTTAAGGCTATTCCACGATTGAAAGTGCCAGAATCCAAATGCCAAACTCAAAAGAAGAAATTTTCGCAGGAAAATTTACAGAGTGATATTGAGGATAACAACAATAATCATAATCCTAAGTTAAATAATGAGAAAATGACAAAACCAGATAATGACTATGAAATAACAACTGAAAAATCTACGTCTGAAGGGAAAAATCAATAA
Protein Sequence
MEFRGNSDRLQLLIEKIQANKENTPSQHQEEGETSASETTSEAVDSDLGFSFGVTDTTPYQCQFCDKAFPRLSYLKKHEQSHSELMPFRCNFCSRLFKHKRSRDRHIKLHTGDKKYRCSQCVAAFSRSDHLKIHMKTHDNQKPYQCAYCNRGYNTAAALTSHLQNHKREITSLSSNSDNTTPTSKLGCSQCSLVFISPEEYTIHMADKHSNMDRSSRVNTFHNYSNSELVCPYCKKENFSNLEELQLHIQTNHDGTSSGNENKTELPQGSNFFGDGLPCPVCSIPFYSIKSLNAHISNIHGSHYTSDLNLSCKKCLISFSNSRSMIEHWLYFHGTSGPNVNSSPDQTKPTDLSMVRKLKDDEQPNKKKLKIKESDATANSQDSVQYDPGTLLCNQCNAAMPDFESFRTHLKSHLEESSSKSGMNKIRFSMCSYCRVPVSSLQEMVKHIGTHILSTVTEYSCNICQKIFSSVAELDQHLMEVHSHHLFLCYACKEVFDTSFGIQRHFKIKHSNETKKFTCRLCPSFPPFQSEIDFELHIRNFHCGFDPSLTFQNVSLQCAYCNENCKSRTELENHMKLHCQSSMSFGKHKCNICDEICHSASTLAEHKLMHCKVIYGSTCSHCKATITTEENFLSHMINHNNGLSTKAYQLALPVSCVICRQTLVSESETRLHAKFHLQIDASQCTMCLQMYNKSDLNQNVCSNCLEDRKSPKQCPQCDFHYITASELESHISEEHKKMLKCSNCQTYFDNKEEYDLHLETCSSSDNYDELKCNICLLVLPSQPKLQAHLIEHTFIGCDNFTCYICCSVFTVSSGLQRHISEHGSSLKPYVCTKCKMKFFFRAELENHSYIHQKSLKAIPRLKVPESKCQTQKKKFSQENLQSDIEDNNNNHNPKLNNEKMTKPDNDYEITTEKSTSEGKNQ

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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