Vnig010292.1


Basic Information
Transcription Factor Domain
Sequence Information
Similer Transcription Factors

Basic Information

Insect
Venustoraphidia nigricollis
Gene Symbol
-
Assembly
GCA_034508555.1
Location
JAVRKA010000025.1:2462456-2474357[+]

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 11 0.0018 0.049 14.7 4.2 2 23 683 703 682 703 0.97
2 11 0.0023 0.063 14.3 2.5 1 23 709 731 709 731 0.98
3 11 4e-06 0.00011 23.0 2.4 1 23 737 759 737 759 0.99
4 11 1.3e-06 3.6e-05 24.5 3.8 1 23 765 787 765 787 0.99
5 11 0.005 0.14 13.3 0.5 3 23 795 815 793 815 0.97
6 11 0.00021 0.0059 17.5 2.3 2 23 822 843 821 843 0.97
7 11 1.4e-06 3.8e-05 24.5 2.1 1 23 849 871 849 871 0.99
8 11 0.047 1.3 10.2 7.5 1 23 904 926 904 926 0.99
9 11 8e-05 0.0022 18.9 2.3 1 23 932 954 932 954 0.98
10 11 0.00016 0.0043 18.0 2.1 1 23 960 982 960 982 0.98
11 11 0.00054 0.015 16.3 1.6 1 21 988 1008 988 1009 0.94

Sequence Information

Coding Sequence
ATGCAAGTAGTTGAGTCCGACAAAACTTTGCGACGGTATTTAGAACTGTTACAGTTACACACTTCAGATAATCAAATCAACGGTGAGTGTTCCTTCGAGAAACCTTCAGAAAATCCTTTGATCGACACCCCTAATACAGATATCATTGTAAAGCGTGAGCTTTTGGAGCTTCAGGACATATTGGACATGGATGCCAATAGGGAAGAAAAACCACCTGtaggaaaaattaataatcaaatatgTTTTGAAGCCGAAatcaaagaagaaaaaatggaTGATAATTCACTGTTTCCAACGGACCGTTTTGTAGACAACGAAACATTATCCAAATATGATGATAGTGAAATCAGTTATAAAGATTCAAAGATGGATATAAGTGACAGTAAAGTAGGTTTCGAGATGAATCTCAACTGGAAAGAGACTGGAATGACAACATTTAATTCAACAAATGTAAATACCGAAGTAATAACCTTAAAAACCGAAGTAAAACACGAACTGAAGATAGACAATTCATCAATTTTGCCTGAATGTGTTAATGGCACAATAAACGCTTCATCTAGGTGTGACGTCAGTAAAATAAGCTACGAAAACATAAAAACAGAGATTGATCACACAATTGCTGGTGACATAGTAGACACCTATGTCACTATAAAACGTGAGCCTTTAGAGCTACAGGACTTATTTGACATGGATGCCAATAGGGAAGAAAAACCATCTGTGAGTTTTAATTCAGCAGAAAACATTAATAATCAaatatgttttgaaaccgaaatCAAAGAAGAAAAAACGGATGATATCAACTGGAAAGAGACTGGAATGACAACATTTAATTCaacaaatAAGAAAATGCACGAAGTTGGTCAATTTTGTATCAAAATGGCAGAAATATCGATAAGTGGATACGGCTTAAATACAATGTGTCGATTGTGCTTATCACGTGACGTAACACTATTagacatatttttcttttcaaccAAAATGACAAATCAGGTAGCCGATGTAATCATGACATGTGCTCCCGTTCAGATTACTAAACGCGACGAAATGCCGAATTTCATTTGCCAATTATGTTACACTCAAGTGAAGAAAATTCACCGGTTCCAAATGCAAGTCGTACAGTCTGACAAAATACTTCGACGGTATCTCCAGCAACTAGGTAGACCTACCAAACAAATCAAGACTGAGGAGTCTTCTGAGAATTCTTCAGTCTCTGAAACTAATTCCGATGTCACTGTGAAGTGTGAATCTTCAGAACTTAATGGCGTCATTGATAACATGACGGAATCGATAAAAGTCAATTCTGAATTATCAACAAAATGTGTTAATGATGCTTTGTTAAAGGATGATTGCAGTGAAATTAGCTGtgaagataaaaaaattgatattgatGACATTAAATTGGAAAAAGACGCGAATGTCAACTGGACAGTAGAAGAGGCAGAAAAGACCGATTCAGCAAACCAAATTAACGACGAAGTGACTTTAAAAACCGAACCACAGGctgaaaatgttgataatactTTGTCAAAAGATAATTGCAGTGAAATTAGCTGTGAAGATAAAAAGGTTAATATTGatgaaattaaattggaaaaagAAGCGAATCTCAAGTGGACAGTAGAAGAGGCAGGAAAGTTCGATTCAGCAAACCAAATTAACGACGAAGTGACTTTAAAAACCGAACCACAGGctgaaaatgttgataatactTTGTCAAAAGATAATTGCAGTGAAATTAGCTGTGAAGATAAAAAGATTGATATTGatgaaattaaattggaaaaagAAGCGAATGTCAACTGTACAGTAGAAGAGACACCAAAGATCGATTCAGCAAACAAAATTAACGACGAAGTGACTGTAAAAACCGAACCACACGCTGAAAATGACACAGGAAGCACTTCGTCAAATTACGACACTAGTGAAGACACTATGACAGATATCGATCACAAATCTGAAAACTTCAAGAATCTTCGCTCTGGTGTTAAGAAGCATAATAAATATGAAGAGAAAAATGAGAATATCTCcgtaaaacgtaaaaaaattcaGTGTGATGTCTGTGATAAAAGCTTTCTCTCGCACCATTTAAAAGCACACAAAcgaacacatactggtgagaaaccatatcattGCGACgcttgtaataagagtttcagcaTATTACAGTCGTTAAAAAGACACCGAAATGTGCACGCTGACGTGAAACCTTATCGGTGTGAGATTTGTAAAAAGCGTTTTTCGTATAAAAATGGTTTAAATAGTCACATTCGCAGACATAcaggtgagaaaccgtatcgaTGTGACGTTTGTGATAAGCAGTTTGCTCAGTCAagccatttaaaaaatcacaaacgtacacatactgcTGAGAAACCATATGGGTGTTACGTTTGTAACATGCGTTTCAATGTATTAAGCTCTTTAAAAAATCACCAAAGTGTACATACTGATGAGAAGCCATTAGAATGTAACATTTGCAAGAAGAAATTTACTATgttaagatatttaaataaacacaaacgtGTACATAGTGACGtcaaaccgtatcagtgtgacgtttgtaataaacgcTATAGGAATGCCAGTAATCTAAAAATTCACAAACGTAAACATTCTGACGTGAAACCAGACCAGCGTGACAATTCCAAAAAACGATTTTCCGAATTAAACGGTTTGACCAGTCGCAAACTTCAATATAATGATGAGAAGTAtaaatgtgatgtttgtaataagtgctTTACTTGTTCAACTAGTGTAAAAATCCATAAACGTACacacactggtgagaaaccttataagtgtgacatttgtaagaAGAGCTTTAATCAGATAAGCAATTTCAATTATCACAAACTTATACATACAGGCGAGAAGCCGTATcattgtgacgtttgtaataagggCTTTACTTTGTcgagaaatttaaatattcacaaacgtatacatactggcgagaaaccgtatcagtgtgacgtttgtaaaaagcgTTTTACTGTGTCAACCAATTTAATTGTACACAAATGCTCACAAACTTAA
Protein Sequence
MQVVESDKTLRRYLELLQLHTSDNQINGECSFEKPSENPLIDTPNTDIIVKRELLELQDILDMDANREEKPPVGKINNQICFEAEIKEEKMDDNSLFPTDRFVDNETLSKYDDSEISYKDSKMDISDSKVGFEMNLNWKETGMTTFNSTNVNTEVITLKTEVKHELKIDNSSILPECVNGTINASSRCDVSKISYENIKTEIDHTIAGDIVDTYVTIKREPLELQDLFDMDANREEKPSVSFNSAENINNQICFETEIKEEKTDDINWKETGMTTFNSTNKKMHEVGQFCIKMAEISISGYGLNTMCRLCLSRDVTLLDIFFFSTKMTNQVADVIMTCAPVQITKRDEMPNFICQLCYTQVKKIHRFQMQVVQSDKILRRYLQQLGRPTKQIKTEESSENSSVSETNSDVTVKCESSELNGVIDNMTESIKVNSELSTKCVNDALLKDDCSEISCEDKKIDIDDIKLEKDANVNWTVEEAEKTDSANQINDEVTLKTEPQAENVDNTLSKDNCSEISCEDKKVNIDEIKLEKEANLKWTVEEAGKFDSANQINDEVTLKTEPQAENVDNTLSKDNCSEISCEDKKIDIDEIKLEKEANVNCTVEETPKIDSANKINDEVTVKTEPHAENDTGSTSSNYDTSEDTMTDIDHKSENFKNLRSGVKKHNKYEEKNENISVKRKKIQCDVCDKSFLSHHLKAHKRTHTGEKPYHCDACNKSFSILQSLKRHRNVHADVKPYRCEICKKRFSYKNGLNSHIRRHTGEKPYRCDVCDKQFAQSSHLKNHKRTHTAEKPYGCYVCNMRFNVLSSLKNHQSVHTDEKPLECNICKKKFTMLRYLNKHKRVHSDVKPYQCDVCNKRYRNASNLKIHKRKHSDVKPDQRDNSKKRFSELNGLTSRKLQYNDEKYKCDVCNKCFTCSTSVKIHKRTHTGEKPYKCDICKKSFNQISNFNYHKLIHTGEKPYHCDVCNKGFTLSRNLNIHKRIHTGEKPYQCDVCKKRFTVSTNLIVHKCSQT

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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