Vcin037788.1
Basic Information
- Insect
- Villa cingulata
- Gene Symbol
- fh
- Assembly
- GCA_951394055.1
- Location
- OX596025.1:10597249-10605125[-]
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 12 1.9 2.4e+02 3.7 0.3 1 23 50 73 50 73 0.93 2 12 3.5e-06 0.00044 21.8 1.4 3 23 198 219 197 219 0.97 3 12 0.0016 0.2 13.4 1.3 1 19 271 289 271 292 0.93 4 12 0.0091 1.1 11.0 0.3 5 23 303 321 301 321 0.94 5 12 0.00034 0.042 15.5 4.5 1 23 327 349 327 349 0.98 6 12 0.044 5.4 8.9 3.5 1 23 354 376 354 376 0.97 7 12 0.0018 0.23 13.2 0.6 1 23 382 404 382 404 0.97 8 12 8.8e-05 0.011 17.4 1.9 1 23 410 432 410 432 0.98 9 12 0.032 3.9 9.3 4.1 1 23 437 459 437 459 0.95 10 12 5.3e-05 0.0066 18.0 2.5 5 23 468 486 466 486 0.96 11 12 3.9e-06 0.00048 21.6 2.3 1 23 492 514 492 514 0.97 12 12 0.00064 0.08 14.6 0.1 1 23 520 542 520 542 0.97
Sequence Information
- Coding Sequence
- ATGGACTTTATATGTTTGAAAGAAGATTTCGTGGAGCATTTAAAATCTGAAAATGAGTTTTCTACATTGGACAATATATTAGataataattCAAGAAGTTCGCAAAAATGTGGCGAGATTTTTATATCTGAAGAGGAAGTATTCAACTTTTTGTGTACACTTTGTGAATCATCATTCGAAGAAGtagataaatattttgttcatgtTAAAAGTATTCATAAAAATAGAAAAGGTCATGAAAACTTAGAccctttaaaacaaaatgtaaatgaatatcAATGTGATAAAATTAAATCCGATATTCAATCTGGTATTGAACAGAATTCTACTGACAAATTGAAGTCAAATTCTCCAGAAAATGTATCGAATACATATGATGAAGATATTTTGACGGAAAAATTACTGTCTGAAAGCAGGGTTGAAGAAAACAAAGAAAGTAGTATTGAAAGTGATACCgatgaagatgaaaatgaaacatggcataaaactgaaaaaaatgcACAAAGTAAAGAGTTGAGAATAAAATTTCGatcaaataattcaaataaccATAAACAAGAGTATTCAGCTAAAAAAAATACAGGTCTGTTATGTGATATATGCAGTAAAAGTTTTAAAACTCTTTACAATTTAAGAcgacatttgaaaaatattcacaatattGTTCGAACATCAAAGAATAATAATCCACCAGTAGAAACAGAGTCCCAGTCGCAGTTAACTTCAGTTTTGATCCAACCGAAGTCCACAgattcaaaaaatattgaagaggatgataaaaataattctttgtACTCTGAAAAAACTACACATAATTGTAAATACTGTGACCgtcaatttaaagaaaagtcAAAATTAGAAGAACATGAAACAATTGATTGTGGAAACAAACCATCTGAAAGTCAAACTTGTGGTGAGAAATTCCCCACCAAATCACGTTTACGAAAACATGAAACAATACATACCAACATTAGAGAACATAAATGCCATATTTGCCAATCTGCATTCAATAACAAATCAGGTCTGTATTCTCATATGCTTAGACACCGTGAGAAAAATTATTCGTGCAATCACTGTGACATGACCTTTTTCAGAGGATATGAAAAGAAGGAACATGAAAGACTTCATACTGGTGAGAAACCATTTGTATGTACTGCTTGCGGTAAACAATTTACTACAAAGGCACGTTTAGGAACACATGAAACAACTCATACCAACATTAGAGAACATAAATGCGATATTTGTCAATCTGCATTCAAGGATAAATCAGGTCTATATTCTCATATGCTTAGGCACGGTGAGAAAAAGTATTCGTGCAATCACTGTGAAAAGAGATTTTTCACAGAATCTAAAAAGAGGGTACATGAAACAGTTCATACTGATGAGAGACCATTTGTATGTAATTGTGGAAAGTGttttaaaacacaaaacaatCTGAGTATACATATGAAATCACATACGGGATCAAGACTACATAAATGTCAATATTGTGACAAAGGTTTTAGCAGAAAAGCTTATCTTAAGGACCATATTGTAATGCATACAGGTGAAAGACCATTTGTATGTTCAATATGTGAAGCAACGTTTCCGCGACTAAAAGCATTAAGGTCACATGAACAACTTCATTCTGATTTGAAAGGATATgCATCATCATCAACAGAATATCGTATTGAAAGTGATACATTTGGTGAACTAAAAGTTCCTGCAGACAAATATTATGGAgcacaaacaatgcgatcacaAATTAATTTTCCTATTGGAGGACCAACAGAAAGGATGCCtCTTCCTGTAGTGAAAGCAATGGGTGTTTTGAAAAAAGCAGCAGCCGAAGTTAATAAAGAATATGGTCTCGATCCAAAAATTAGTGATGCAATATCAAAAGCGGCAGATGATGTTATTTCTGGAAAATTGTATGATGATCATTTCCCTTTAGTTATCTGGCAAACTGGATCTGGTACCCAATCTAACATGAATGTTAATGAGGTTATTAGTAATCGAGCTATAGAATTGTTAGGCGGTAAATTAGGATCGAAAGATCCAGTACATCCAAATGATCATGTAAATAAATCTCAGAGTTCTAATGATACATTTCCAACTGCCATACATATATCGGTAGCCGTAGAGTTAAATCAAAACTTAAAACCAGCAGTAACTATTTTGCATGatgcattgaaaaaaaaatcagaagaaTTCAAGGatattattaaaattggaaGGACTCATACAATGGATGCAGTACCATTAACTTTGGGACAAGAGTTTAGCGGTTATGCACAACAAATGGCATATGCTCTTGAACGTATCGATGCAGCACTTCCCAGAGTTTATCAATTAGCCCTTGGAGGAACTGCTGTGGGGACTGGACTTAACACAAGAATTGGATTTGCTGAAAAATGTGCATCAAAGATAGCACAATTAACTGGTTTACCATTTGTTACGGCACCAAATAAATTTGAGGCATTAGCCGCTCGAGATGCAATGGTCGAAGTTTCTGGATGTCTAAATACAATTGCAGTTAGCTTAATGAAAATTGCAAATGATATACGATTTTTAGGATCGGGTCCACGATGCGGTTTAGGTGAATTAAGTTTACCAGAAAATGAACCAGGCAGTTCTATAATGCCAGGAAAAGTTAATCCAACACAATGTGAATCATTAACGATGGTTGCATCCCAAGTGATGGGTAATCATGTTGCCGTAACAATTGGAGGATCAAATGGTCATTTCGAATTAAATGTTTTCAAACCATTAATTGTTTCAAACGTGCTGAGATCAATTAGATTATTGTctGATGGTTGTAGGACATTTACATCGAATTGTGTATCTGGAATAAAGCCAAATACTGAAAGAATTGCTAAAATTATGAATGAATCTTTGATGTTAGTTACTGCCCTTAATCCTCATATTGGTTATGATAAGGCAGCTAAAATCGCTAAAACGGCTCACAAGGAAGGAACAACACTTAAAGAATCTGCAATTAAATTAGGTTATTTAACAGAACAGCAATTTAATGAATGGGTCAGACCAGAAGAAATGCTTGgtccaaaataa
- Protein Sequence
- MDFICLKEDFVEHLKSENEFSTLDNILDNNSRSSQKCGEIFISEEEVFNFLCTLCESSFEEVDKYFVHVKSIHKNRKGHENLDPLKQNVNEYQCDKIKSDIQSGIEQNSTDKLKSNSPENVSNTYDEDILTEKLLSESRVEENKESSIESDTDEDENETWHKTEKNAQSKELRIKFRSNNSNNHKQEYSAKKNTGLLCDICSKSFKTLYNLRRHLKNIHNIVRTSKNNNPPVETESQSQLTSVLIQPKSTDSKNIEEDDKNNSLYSEKTTHNCKYCDRQFKEKSKLEEHETIDCGNKPSESQTCGEKFPTKSRLRKHETIHTNIREHKCHICQSAFNNKSGLYSHMLRHREKNYSCNHCDMTFFRGYEKKEHERLHTGEKPFVCTACGKQFTTKARLGTHETTHTNIREHKCDICQSAFKDKSGLYSHMLRHGEKKYSCNHCEKRFFTESKKRVHETVHTDERPFVCNCGKCFKTQNNLSIHMKSHTGSRLHKCQYCDKGFSRKAYLKDHIVMHTGERPFVCSICEATFPRLKALRSHEQLHSDLKGYASSSTEYRIESDTFGELKVPADKYYGAQTMRSQINFPIGGPTERMPLPVVKAMGVLKKAAAEVNKEYGLDPKISDAISKAADDVISGKLYDDHFPLVIWQTGSGTQSNMNVNEVISNRAIELLGGKLGSKDPVHPNDHVNKSQSSNDTFPTAIHISVAVELNQNLKPAVTILHDALKKKSEEFKDIIKIGRTHTMDAVPLTLGQEFSGYAQQMAYALERIDAALPRVYQLALGGTAVGTGLNTRIGFAEKCASKIAQLTGLPFVTAPNKFEALAARDAMVEVSGCLNTIAVSLMKIANDIRFLGSGPRCGLGELSLPENEPGSSIMPGKVNPTQCESLTMVASQVMGNHVAVTIGGSNGHFELNVFKPLIVSNVLRSIRLLSDGCRTFTSNCVSGIKPNTERIAKIMNESLMLVTALNPHIGYDKAAKIAKTAHKEGTTLKESAIKLGYLTEQQFNEWVRPEEMLGPK
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -