Basic Information

Gene Symbol
Bcl11b_2
Assembly
GCA_964023185.1
Location
OZ026807.1:12273561-12284292[+]

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 7.2e-05 0.0055 17.7 3.0 1 23 171 193 171 193 0.99
2 10 1.4e-05 0.001 19.9 0.3 1 23 200 222 200 222 0.95
3 10 0.019 1.5 10.0 1.0 1 23 226 248 226 248 0.98
4 10 0.00084 0.065 14.3 3.3 1 23 253 276 253 276 0.94
5 10 0.039 3 9.0 0.2 1 21 281 301 281 304 0.79
6 10 0.0014 0.11 13.6 0.6 3 23 318 339 316 339 0.96
7 10 2.4 1.8e+02 3.4 2.1 3 23 416 436 414 436 0.94
8 10 0.021 1.6 9.9 0.5 1 23 442 464 442 464 0.97
9 10 2e-07 1.6e-05 25.7 2.9 2 23 470 491 469 491 0.96
10 10 6.1e-05 0.0047 17.9 1.6 1 23 497 520 497 520 0.96

Sequence Information

Coding Sequence
ATGAAGAAGAAACCAAATATTTGTCGAATATGTTTACGAGCCAACAGAAAGCTCAAAACTATtgataatactttattggagtTTCATGACCACTTATGTGAATATTCTcCAAACAAGTCAGTGGAGAGTCTCTGCACACTACTACCTGCCTCACTGGCACCTAGCACAATAAACAAGCACACAGCTTGCCTGTATTATGAgttAAAAATAGAGCTAGAAGAGAAATTTGAGCTTTGGGGCGAATTGAAAACTGAAGACGGATCTGTAATAGACAAAGATGtgataataaactgtttgaatGACAAAATAACAGACAAACGGATGAAACAGCTGTGGGATTGTGAAACACCAAACCCGGTGACACTTCGCACGTTCAAACATCTGATGCGTAACTACAAGAATGAGGAACAATACTCGACTGTGTTCGAGATAGAATACTTGAATACGGAGGAAAAGATGCAGCTGGAGTTGTTGAGaAGAAAAACTTACGACTGCTATTTGACGGCGAAATATAAATGCGATATTTGTTTCCTGGTTTTCTATAAACCTAAACATTTGGAAAATCACACAAAGATGCATGAGGAAGGCGCCGGTGAATTCGCCTGTAAAATCTGCGGGCTTAGATTCCCGAGTAGCAAGAACCTACGGTCACACGAGGCATCGCACGGCGCCGCTTATAGATGCAAACTATGTCCGCTTGTTACCTATTACAGAGATTCAATGGTGAACCACTACAACCAACACGAAGGCAAGTCGTATACATGCGAGAGCTGCGGGAAAGTATGCAAGAGCATGTCTGGCTACAAGCGGCACCAGTACCTGCAGCACCGGCGCGGCCGCCACGTGTGCACCACCTGCGGCCGCGCCTTCGTGTCTCAGCTGGGCGTAGCTCTCCATAATACTAGGATACACAAGAACGCCGCGCCGCCGCCAGAGGGCGTGGGCGTGCATTGTGATGAATGCGACCTCTCGTTCCCGTCTGAAGAGGTGTTCATGAAACACAAGCGCACCTGGCATAACGAACATAAGGCTGTTACGAAAACGTACTGCAACGCATCAGGCAGTATTGGCTGGTTAACGCTCCACTTCCGGACAGAACACCCCACCTTGGACATGAATGCAGTGTATGCAGATAAAAGGACGCACCTGTGTCATGTCTGTGCTAAGGGATTCTGGGTGAGTTGGTTTATGAAACACCCTACCTTGGACATGAATGCAGTGTATGCAGATAAAAGGACGCACCTGTGTCATGTCTGTGCTAAGGGATCCTGGAACGCAACATCACTCCGCTACCACTTGAACTCGCACACGGGCGTCCGCCCCTACGCCTGCGACCTCTGCCCGAAGCGCTATCACAGCGGAGTCGCCTTGAACGAGCATAAACTGAGACACTTCCCGCCGGGCAAGGAGTGCAAGCAGTGCGGGAAGAAGTTCAAGACACAGTCCAACCTGACCAATCATATGCTGTTTCATACGGGCACGCGCCGCCACAAATGCAGCATATGCGGCAAAGCCTTCCTCCACAGCACGTCACTCAACGAGCATATAAGGGGGGTCCATTACAACGTAAGGAGGGTCAAGAAAGGCAGCCGAGGGGGGAAGTTGGATAGTGGTGTTGTTGGGGGGGAAGTTAGTGATTAA
Protein Sequence
MKKKPNICRICLRANRKLKTIDNTLLEFHDHLCEYSPNKSVESLCTLLPASLAPSTINKHTACLYYELKIELEEKFELWGELKTEDGSVIDKDVIINCLNDKITDKRMKQLWDCETPNPVTLRTFKHLMRNYKNEEQYSTVFEIEYLNTEEKMQLELLRRKTYDCYLTAKYKCDICFLVFYKPKHLENHTKMHEEGAGEFACKICGLRFPSSKNLRSHEASHGAAYRCKLCPLVTYYRDSMVNHYNQHEGKSYTCESCGKVCKSMSGYKRHQYLQHRRGRHVCTTCGRAFVSQLGVALHNTRIHKNAAPPPEGVGVHCDECDLSFPSEEVFMKHKRTWHNEHKAVTKTYCNASGSIGWLTLHFRTEHPTLDMNAVYADKRTHLCHVCAKGFWVSWFMKHPTLDMNAVYADKRTHLCHVCAKGSWNATSLRYHLNSHTGVRPYACDLCPKRYHSGVALNEHKLRHFPPGKECKQCGKKFKTQSNLTNHMLFHTGTRRHKCSICGKAFLHSTSLNEHIRGVHYNVRRVKKGSRGGKLDSGVVGGEVSD

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

100% Identity
-
90% Identity
-
80% Identity
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