Basic Information

Gene Symbol
Bcl11a
Assembly
GCA_946251875.1
Location
CAMIUH010000446.1:358210-370164[-]

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 10 0.86 1.7e+02 4.9 4.4 1 23 226 249 226 249 0.96
2 10 3 5.9e+02 3.2 2.7 1 23 284 307 284 307 0.92
3 10 0.013 2.7 10.6 4.4 1 23 311 334 311 334 0.97
4 10 0.00013 0.026 16.9 2.2 3 23 339 360 337 360 0.95
5 10 0.036 7.1 9.2 0.7 3 23 365 386 364 386 0.93
6 10 0.66 1.3e+02 5.2 0.1 2 21 400 419 399 420 0.93
7 10 8.9e-05 0.018 17.4 0.4 2 23 433 455 432 455 0.94
8 10 0.00072 0.14 14.6 0.6 2 23 462 484 462 484 0.95
9 10 0.0024 0.48 12.9 0.4 3 23 495 515 494 515 0.99
10 10 0.00021 0.041 16.3 0.5 1 23 521 544 521 544 0.98

Sequence Information

Coding Sequence
ATGGATATAAAAGTGGAATGTGAGCAGATAAATATGCTATGCCACGGATGTCTAACTGAAGACCGAACAGTGCACCGCGTAAGCGGAGATATAAGTGAAATGTTCTTTGTACTTCGAAATGATACATTCAATAAACAACGTgatGGCATTCCAAAGCCCCAAAGCTTATCTTCTCTAAACAGATTACATAACAACACATTCAATTATGAATTTTATGAAGAAGAGAAAACTATATGCAATGTGTCTGCAAGCAAATGTAATGCAAGCAAACTTCAAGATCAAAATGAGAAGAAAGCTTTACCAGTTGAATATGATAAGAAGGAATTAATAGAATTAGAAcaacgaaaaaaaattatagcagTAGAATTACTTACGGACATAAAAGTAGAATATAACGATAGTATAAAAGAAGAATACAACAGCAGCAACGAAAATGATTCGGATTACTATGATCCTGTACTTAAATTGGAGACTGAAGAGGCCGAAGACAAAACTGCTAAagctaaaaaatattataaatgtaagaaGTACGAAATGTTTGCAACGGTGACAAAAAGAAAGGATATTTCAAAGAAATCTTATTTGCACTTTACCGAGTCTGTTTCGTTGGATCAGGAAGAGTATGAGAAAGTGTTGAAAAGAGATAGGATTCGCTACGGGTACCCTAGGATGCCATTTAAGTGTTATGAGTGTAAAGAAgggtatttgaaaaaaatggaTTTACAACGGCATAAGAGTTCTTGTCATAGTAATgagTTACCATTCCCATACAAATGCGCAGCTTGTCCCACGATGATGACGTCACTGGCGCAGCAAGATGAGCACTGGACAGCTGCCCACTCTAAGCTGTACAAGTGCACGATATGCTCTGAGGTGCACCAGTCcacttttgaaattaaaaaacatgtaAAAATGAAACATCGCAAGAATTATGCTTGCAACGAATGTGGCTCACATTGTGGGAGTTTATACGATTTCCGAAGGCACTACAAGACTATGCATGAGAGAGTTATCTGCGATTATTGCAACTCCATGTTCACCAAAAAGAGTAGTTTGATATCTCATATGAAGCACTACCACATCCCAGCATACTGCGGTGTATGTAACCGCATATACGCCAACAACAAGACCTTCAAGTACCACAACCAAGTCACGCACCCTGAGCAGACGGATGGCGAGACTCGCAAGGAGTTGTCGTACTGCGTCGAGTGCGACATACAGTACCCGAGCGTGTTCAAGTACCGGAGGCATctgcagcagtcggccaggcaTACGAAGCAGAAGAAAGTCAGAGTGCCCTGTCCAGAATGCGGGAAGATTTTCACCAGAACAAACTTCATGAAGAATCACTACAGATTTGTACACTTGAAGGTCACCAAGAACTATTGCGACCAATGCGATAAGTACTACACGACGGGTTACGGACTTCGCAAGCACATTGAGAGATTTCACGAAAAGATCGCAGCACCCAAGAACAAACTCTGTGACCTCTGCGGACGAGGCTTTGGAACGAACAAAATACTAGAAAACCACCGTCGCACACACACCGGCGAGCGGCCTTACAAGTGCAAGTACTGTCCCGCGGCCTTCGCGCAGGTGACTGCCATGAAGACTCACCAGAAGTCGCAGCACAAGAACTTGGACCTGCCTAGTTAA
Protein Sequence
MDIKVECEQINMLCHGCLTEDRTVHRVSGDISEMFFVLRNDTFNKQRDGIPKPQSLSSLNRLHNNTFNYEFYEEEKTICNVSASKCNASKLQDQNEKKALPVEYDKKELIELEQRKKIIAVELLTDIKVEYNDSIKEEYNSSNENDSDYYDPVLKLETEEAEDKTAKAKKYYKCKKYEMFATVTKRKDISKKSYLHFTESVSLDQEEYEKVLKRDRIRYGYPRMPFKCYECKEGYLKKMDLQRHKSSCHSNELPFPYKCAACPTMMTSLAQQDEHWTAAHSKLYKCTICSEVHQSTFEIKKHVKMKHRKNYACNECGSHCGSLYDFRRHYKTMHERVICDYCNSMFTKKSSLISHMKHYHIPAYCGVCNRIYANNKTFKYHNQVTHPEQTDGETRKELSYCVECDIQYPSVFKYRRHLQQSARHTKQKKVRVPCPECGKIFTRTNFMKNHYRFVHLKVTKNYCDQCDKYYTTGYGLRKHIERFHEKIAAPKNKLCDLCGRGFGTNKILENHRRTHTGERPYKCKYCPAAFAQVTAMKTHQKSQHKNLDLPS

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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