Basic Information

Gene Symbol
-
Assembly
GCA_030463065.1
Location
CM059999.1:24323021-24325826[-]

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 8 6.1e-05 0.0034 17.9 0.4 3 23 255 275 254 275 0.98
2 8 0.00045 0.025 15.1 0.3 2 23 282 303 281 303 0.96
3 8 3e-07 1.7e-05 25.2 0.4 1 23 309 331 309 331 0.99
4 8 2.3e-06 0.00013 22.4 0.6 1 23 337 359 337 359 0.98
5 8 0.00018 0.0098 16.4 0.1 1 23 365 389 365 389 0.98
6 8 5.3e-05 0.0029 18.1 0.2 1 23 395 418 395 418 0.97
7 8 1.2e-05 0.00066 20.1 2.1 1 23 424 446 424 446 0.99
8 8 1.5e-06 8.1e-05 23.0 2.1 1 23 452 474 452 474 0.98

Sequence Information

Coding Sequence
ATGAcaacaatattcaatgaaGATTTAGACAAAATATGTCGTTGTTGCCTGtgtaaaaatggtgaaatgagACCATTGTTTGGAAGCTGTATCGACAATATGCTACGTTTTGTAGCAGAAAttgatGTGTGCGCTGGTGATGGTTTGCCAGAATTGATGTGTGTCCCATGCGTGTTACAAGTGAGCCGTGCATTTACATTCAAGCAACAATGTCAGCGTTCAGATCAAACTCTGAAGTCTTACCTTGGACAAATGGTCAAAATTAGTGAAACGGATAACAATAATATCCAGGATACTTACAATGGCAGAGAATCTGATGGTGTTGATGAGACCACCATAAATCCAAATGTGATTGAAGATAAATTTACGGTGAccgataaaataaatgagcaTCAATTTGTATCGCCAGATGACACTACCTCGAATCATTTAGATAGTGGATTAGTACTGGATTCTCTGCCACCCGAAATTGATTCAAGTTCATTCGAAGAGGAAATTGAGCTGTCTAGTTTGCCTAGTCCGGTTGTAAGTGAAGATATTCAACAGCGTTTAGCTGCTGACGTTATGAATGATGAGCTCGACGAAGGAgatgcaaaaatgaataaagtttcgtcaaaattatcatcaaaatttgGTGACTACTTTGATGATCTTAAGTTGGATGTTGCGCATGTTGTCTCCCTCGCCAATAGTGAACTACCAGTCCAGTCAATTGAAGAGACATTTGGTGAACTACGAAATGTTGTTGGCAAGCCAAATCTCTGTTCGGTATGCGGTAAAGGATTTAAATGGGCTAGTTCTCTTTCGAAACATATGCGTTTGCATACACGACATAAATTACTGAATTGTCAGTACTGTCCCAAGTATTACGTTGAAGCCAGGTCactaaatattcatttgcgATCACATACGGGAGAAAAACCGTTCCGTTGTGAGGTGTGCCAGAAGGGATTCACGCAAATGGGGAATCTGGAGAAACACATTCGAGTACACACCGGTGAACGTCCGTTTAGTTGCCCAATATGCCACAAAGGATTCTCACAGAGTGGCTACGTGGCTATACACTTGCGTACACACACTGGAGAGAAACCATACAGATGCGATGTGGAGAATTGCGGTAGAGCGTTTGCTGGATCAAACACGCTTGCCATTCATAAAAGAACGCATACTGGAGAGCGTCCCTATGCGTGCTCACGAGGCTGTGGTAAAACATTTGCGCGTCAAGAGACGGCCAACATTCATGAACGAACGCATACCGGTGAGAAGCCATATCGATGTCGAATATGCTCGCGTGGTTTCACCAGTTCGGGTCATCTAACAGGTCACTTGCGTTCACATAGCGGTACAAAAACGCACGAATGTAAAATTTGTCAGAAACGATTTGCTGGAAGTAGTAGCCTAAAAGTGCATATGAAatcacacacagagaaagctgcacagcagcagcagcaggagcagcagcaacaacacgaaatttttgatgcaaaaaCAACAGTATTTGAGTGCAATATGTGTAAGATGAATATCCCGTCATCAGCTCTATCATCTCCAGAAGAGATTCAGGCGTACAATCATGAATTTATCGATGACGTGTTGATTTGCTCAAACGTTGCGTCAATCATAGATAATGGTAAAATTATTGAAGaaattcacaatgaaaatggcacaaaCATTATTTTAACTACAGCAActgatattgaaaatggtcaacagcTACTGATTAATCTCTCCGATTTAAAATAG
Protein Sequence
MTTIFNEDLDKICRCCLCKNGEMRPLFGSCIDNMLRFVAEIDVCAGDGLPELMCVPCVLQVSRAFTFKQQCQRSDQTLKSYLGQMVKISETDNNNIQDTYNGRESDGVDETTINPNVIEDKFTVTDKINEHQFVSPDDTTSNHLDSGLVLDSLPPEIDSSSFEEEIELSSLPSPVVSEDIQQRLAADVMNDELDEGDAKMNKVSSKLSSKFGDYFDDLKLDVAHVVSLANSELPVQSIEETFGELRNVVGKPNLCSVCGKGFKWASSLSKHMRLHTRHKLLNCQYCPKYYVEARSLNIHLRSHTGEKPFRCEVCQKGFTQMGNLEKHIRVHTGERPFSCPICHKGFSQSGYVAIHLRTHTGEKPYRCDVENCGRAFAGSNTLAIHKRTHTGERPYACSRGCGKTFARQETANIHERTHTGEKPYRCRICSRGFTSSGHLTGHLRSHSGTKTHECKICQKRFAGSSSLKVHMKSHTEKAAQQQQQEQQQQHEIFDAKTTVFECNMCKMNIPSSALSSPEEIQAYNHEFIDDVLICSNVASIIDNGKIIEEIHNENGTNIILTTATDIENGQQLLINLSDLK

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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