Msca016267.1
Basic Information
- Insect
- Melanostoma scalare
- Gene Symbol
- -
- Assembly
- GCA_949752695.1
- Location
- OX456984.1:204615693-204625034[+]
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 0.13 33 7.1 2.4 2 20 845 863 844 865 0.93 2 8 0.00037 0.096 15.0 0.8 1 23 872 894 872 894 0.99 3 8 0.0031 0.8 12.1 5.2 1 23 898 920 898 920 0.98 4 8 3.4e-08 8.9e-06 27.7 1.1 1 23 926 948 926 948 0.99 5 8 2.3e-05 0.0059 18.9 0.3 1 23 954 976 954 976 0.98 6 8 0.00012 0.032 16.6 1.0 1 23 982 1004 982 1004 0.98 7 8 0.0012 0.31 13.5 3.0 1 23 1010 1032 1010 1032 0.95 8 8 0.0001 0.026 16.8 0.9 1 23 1038 1060 1038 1060 0.98
Sequence Information
- Coding Sequence
- ATGTCTAGCACGGAGATTTCATCATTATTAGCTTGTAATCCACCGGCGTTCAGCCGTTGCGGAGAGATTTATTGTTCTGACAATCTCGAATCATTTTTCATAAACTGTGCAATTTGTtctcaacaatttaatttactcAGTGGCAATTTATTTATTACACACATTAAGGAGTGCAAAACAGTTGGATTCCCAAGCCAATGTGATCAAAGTACTACAACGCAGGAAATTTCCCGATATACTATCGACAGTCTACTCAAAGATGCTCTCAAACACAATAACATTGGAGGTGATGAAAATACAGAAGTTCAGAATGATCCACTTATGTCTCTCAAGTTGGAGATGGCCAAAGAAAATGAAGAGGCGAGAAACACTTCTGAACATCCCGAAGATGAATTAGAATATTTGTCGGACTATAAAGATGAGGAAGAACTGACAATCGATAAAGTGATCCGTCGCAAAAAAATTGAGGGTATAATTGACGAGTATAAAAAGCATCCGATTTTGTGGGATGTAAATCTAAGTGCAGCAGCCAGTCAGGCAGAAAAGAAGCAACATTATAagcaaataagaaaaatagtCAATTCCAAATTCAAGATGAACTTGACATATAATGAACTCTATTATCAAATTCGTGCCCTGAGGCAGATCGAAGATCTCGATGTGGATGATGCAGATCAAGACATCATAACGAAACGAGAATTTTCAGAACCTGAGATGTTTAGCTATAATTCTAACCAAGAAGAACAAGATGCTGAAAGCGGTGAAACAAGCAGTCGAAAGCGAGAACAAGAAATAGTTCTTGCTATTATTGAAGAATATAAAGAACATCCGTGCTTGTACAATAATTATCTCTACAAGACTAACTGTCGCTTTAGTCGTGCCGATGCTATCACAGAAATCAGAACCACTgtcaataataaattcaatacCACCTATAACGACATGGAAATTAAAGGTAAAATTGCTCAGCTAAGAAGTAGTTATAGACGCATTCTCCGTACTAAAGAGCAATTTGAAAGCCTTCATGCGAATGCGAAAAGAAAATTCCATCCACAGTGGAAGTATTACGATAAATTGGCATTTATCGGTACAAAGGATAGTGATTTTTCAGTAAGGCGAATAAAAAACAGAAGATCAAGAAGAAGAGAGAATGAAGCAAAAACGAAGGAAGCCAAAGCTACTACTGCTCATCaagaaaaagatgaagaagaaggagaagaggaagaagatgaagatgaagaggAAGACGACGAAGATATGGCAGCAGAATCACTACAGCATAATGATGATATATTCCCCGAAAGTAATGATGAATCAAACAGTAATATGTTGGATACAGAATTTTTACCAGAGGAcgatgaaaaattaattaaaatcgaACAGCCTTCTGGTGACGATGAAAAAGACCGACAAAATCCGAAATCCATTGTAAAAAATAAGGAGCTCCTAACAGCAGTTATAGAAGAATATCGTAAATTACCTTGTCTATGGGCTATTCAACACTACACCAATGATAATTTATACCGAAGAAGTGCTTACAAAAAAATGGCTAGTAATATTAATGCTCAATTCAATACAAATTATAATTACAAAGATATGAGTGTTGAAATTGTCAAACTACGTTCAACTTACAAACGTATGCTAcggaaaaaacaagaaaatccaGCATATGTCTCGAAGTTGTGGTACGCCGAAAAATTGTGTTTCATTGAAGGAAAAGGAAAGAATACAGAAATCGATAAAGAAggCGAGGCTTTACTCAATATCGACGATAACATGCTCTCCCAAGATCACGCGGTAGAGTCAGAGCAAGATGATATGGAAGAAAAAGACACGGTGTTCGAAATCATTGATCTTTATAAATCATCACCAATTTTATGGGACACCAAACATCCTATGCATATGCTTAGAACTGAGAGGAGGAAAGCAATACAACAAATATTAGAAATACTAGGTCGTGATCATGATTGCTTTTTAACAGTGGAAGAATTTCGTTATCAAGTTCGGTTCTTGAAGGATTCGTATTTCCGCGCCTTGCGACATGAAGCTGCCGCTAGAATGGGGGACATTGGAAGCTCGTACATACCAAAACCATTCTTTTTTGATCGTTTATCATTTTTGGAACCGTTTGCGGAAAAGATCCCACCATCATCGACACAGTCACAAATGATGATGGATACATCGGAACCTACGGAGGATTTCACCTATCTCGTAGAAAATAGATCGCTGATGATGGATTTCATTGAAGTTTACAAAACACAAACCTGCCTATGGGATCCTAAGAACAAGGACAAAAACAATTTGGATGCACTCTCTAATGCCTATGATAAGATCATAACTGTTTTCCTACAATACAACGTTACACTAACCAAAAATCAGGTTTTGAATGCGATACAATTCCTCAATTTCTCGTTTTTAAAACATCAGAAAACAAAGGAACTCAAACCTACAGAAAAATCTCCTGATGAACCATTAATGTGGTTTTACGATCAACTTGTTTTCCTTGAAAGAATTCCCAAGAAAACGGACAAATACTGTTCCCATTGTGATCAACATTTCCATACGTTAGCAGCTTATGAAAAACACAAAATCGAAATTGCTGGCGACTATCCCTACAAATGTTCTATATGTAAAGCTGGTTTTGTATCTAGATCAAAATACGCCTATCATCAGATAACTCACAAGGAACCCCACAAATGTGATCAATGCGGCTTTCAAGCTTATGATAAGCACAATTTCAACGTTCATATGCGCCGTCATAAAGGCATTCATCCTTTTAAATGCCAAGAGTGTGACAAGGGATTTGTGACATCAACTGAACTCAATAGACATATGCGCATGCACACCGGGGAGCGGCCATTTATATGCGATATTTGTGGTAAATCCCTACCAGCAAATTCAGAGTTTCGTCAACACATGAAGCGACATAGCAATCAGAGAGACCACAAGTGTGATTTGTGCGGCAATGCTTTTTTTACACCCAAAACACTGCGTGATCATATGGCTTCACACTCAAATGAGCGCCAACATGTGTGTGAAACATGTGGAGCGGCATTTAAACGTAAGAAAACCTTACATCAGCACAAGGCGTTGCAcgccgaaaagaaaaaacatgaaTGCAAAATCTGTGGAAAACTTTTTGCCCAGAAGGCTGGAGTTTACTCGCACATGAAGTCGCACGGATTGATGGTTGGGAATTAA
- Protein Sequence
- MSSTEISSLLACNPPAFSRCGEIYCSDNLESFFINCAICSQQFNLLSGNLFITHIKECKTVGFPSQCDQSTTTQEISRYTIDSLLKDALKHNNIGGDENTEVQNDPLMSLKLEMAKENEEARNTSEHPEDELEYLSDYKDEEELTIDKVIRRKKIEGIIDEYKKHPILWDVNLSAAASQAEKKQHYKQIRKIVNSKFKMNLTYNELYYQIRALRQIEDLDVDDADQDIITKREFSEPEMFSYNSNQEEQDAESGETSSRKREQEIVLAIIEEYKEHPCLYNNYLYKTNCRFSRADAITEIRTTVNNKFNTTYNDMEIKGKIAQLRSSYRRILRTKEQFESLHANAKRKFHPQWKYYDKLAFIGTKDSDFSVRRIKNRRSRRRENEAKTKEAKATTAHQEKDEEEGEEEEDEDEEEDDEDMAAESLQHNDDIFPESNDESNSNMLDTEFLPEDDEKLIKIEQPSGDDEKDRQNPKSIVKNKELLTAVIEEYRKLPCLWAIQHYTNDNLYRRSAYKKMASNINAQFNTNYNYKDMSVEIVKLRSTYKRMLRKKQENPAYVSKLWYAEKLCFIEGKGKNTEIDKEGEALLNIDDNMLSQDHAVESEQDDMEEKDTVFEIIDLYKSSPILWDTKHPMHMLRTERRKAIQQILEILGRDHDCFLTVEEFRYQVRFLKDSYFRALRHEAAARMGDIGSSYIPKPFFFDRLSFLEPFAEKIPPSSTQSQMMMDTSEPTEDFTYLVENRSLMMDFIEVYKTQTCLWDPKNKDKNNLDALSNAYDKIITVFLQYNVTLTKNQVLNAIQFLNFSFLKHQKTKELKPTEKSPDEPLMWFYDQLVFLERIPKKTDKYCSHCDQHFHTLAAYEKHKIEIAGDYPYKCSICKAGFVSRSKYAYHQITHKEPHKCDQCGFQAYDKHNFNVHMRRHKGIHPFKCQECDKGFVTSTELNRHMRMHTGERPFICDICGKSLPANSEFRQHMKRHSNQRDHKCDLCGNAFFTPKTLRDHMASHSNERQHVCETCGAAFKRKKTLHQHKALHAEKKKHECKICGKLFAQKAGVYSHMKSHGLMVGN
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -