Ecal004112.1
Basic Information
- Insect
- Eurytoma californica
- Gene Symbol
- -
- Assembly
- GCA_035586675.1
- Location
- JAXIUT010000021.1:1399285-1405329[-]
Transcription Factor Domain
- TF Family
- TSC22
- Domain
- TSC22 domain
- PFAM
- PF01166
- TF Group
- Basic Domians group
- Description
- These proteins are highly similar in a region of about 50 residues that include a conserved leucine-zipper domain most probably involved in homo- or hetero-dimerisation. Drosophila protein bunched [1] (gene bun) (also known as shortsighted), a probable transcription factor required for peripheral nervous system morphogenesis, eye development and oogenesis.
- 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 14 0.051 4.9e+02 2.0 0.0 33 46 5 18 1 29 0.77 2 14 0.014 1.4e+02 3.8 0.3 27 41 107 121 87 134 0.68 3 14 0.63 6e+03 -1.4 0.2 14 42 167 193 164 202 0.68 4 14 0.059 5.6e+02 1.8 0.2 32 44 208 220 194 229 0.67 5 14 0.052 5e+02 2.0 0.2 13 30 210 227 205 247 0.76 6 14 0.00049 4.7 8.5 0.3 24 47 270 291 260 301 0.83 7 14 0.018 1.8e+02 3.5 0.1 28 44 306 322 289 331 0.83 8 14 0.43 4.2e+03 -0.9 0.0 31 48 345 362 332 365 0.78 9 14 0.0042 40 5.5 0.3 24 47 370 391 358 401 0.84 10 14 6.4e-05 0.62 11.3 0.7 24 53 402 433 398 437 0.81 11 14 0.0052 50 5.2 0.3 24 47 437 458 427 468 0.82 12 14 4.9e-05 0.47 11.7 0.3 24 53 469 500 466 504 0.80 13 14 0.11 1.1e+03 1.0 0.3 24 42 504 522 494 532 0.83 14 14 0.58 5.5e+03 -1.3 0.3 16 35 542 561 536 573 0.55
Sequence Information
- Coding Sequence
- ATGGTGGAATTCTTGCAAGACGAGAACAATGTTCTAAAACGTGATGTAGATCAACTTCACGTGGCTCTCGCTGACATGAAGGCTTCGAAGGATTATCTTTTGGAAAAATCGGAAGCTCTTGAGCAAGAACTCGCAGAATCCCAAACTTTatctaaaaaagtaataataattgagaAAGCGGCGGAGCAGCATACAACATCTGAGGGCTCCTTGCAAAAAGAGATCAAGGCACTAAAATGCGACGtagaaattgcaataaaagataaaattaaagcgGAGTTTGCAAAAcggaaacttaaaaaatccgAGGAGACGTGGCAAAGGGAAAACAAGACCCTAAAATCCGAAAATGATCAACTTCGTTTAAGCATTGATTGCATGAAAAACGAGATGAGTAGCCAGGTGATAACACGCGacgtttcaataaaaaagctgGAGGATCAGCTGGACTCCCAAAGAAGGCTTCATGAAGCCGAAgtATCCGAGGATAatgttttggaaaaattcgAAACTCTTGAGCAGGAACTCAAAGAAATCcgaatttttctttcgagaaaggaaaataatcCAACTAAAGCAGAGATGGTGAGACAAGAACAAGACTTAGGAATAATCGTAGATTCCATGCGAAAGGAGAACGAGGTTCTAAAGCGAGATGTCGATGACCTTTACGCAACGCTCGTTGAAACGAAGgtGATAAAGGAttatcttttagaaaaattggaaGCTCTTGAGCAGAAACTCGAAGAATCCCGAACTCTTCTTTCGAAAAAAGATGAAGATATAATTGAAGCGAAGTTGGCGAAGCAGGATCTTATAACAACTGTGAACTCCTTGCAAAAGGAGAACAAGACACTAAAATGCGAAGTAgatgaaattgcaaataaagcGGAATTGGCGAATAAGGACCATATAACAACCGTGGACTTGTTGCAAAAGGAGAACAAGGCGTTAAAACGCATAGTAGATGAAATTGCAAATGAAGCGGAATTGGTGAATAAGGACTATATAACAACCGTGAACTTCTTGCAAAAGGcgttaaaacaaaagaacaaGGCGTTAAAACGCAAAGTagatgaaaatacaaaaaaagcgGAGTTGACGAAGAAAGATCTCGAAACAATCGTGGACTCCTTGCAGAAGGAGAATAAGGCACTAAAATGCAAAGTAgatgaaattgcaaataaagcAGAGTTGGCGAAAAAGGATCTTTTGTCAACTGTGAACTCGTTGCAAAAGGAGAATAAGACGCTAAAATGTGAAATATCTACTTCatctgaaaatgtaaaaaaagcggAGTTGGCGAAGAAGGATCTCGAAACATTCGTGGACTCCTTGCAGAAGGAGAATAAGGCGCTAAAATGCAAAGTGgatgaaattgcaaataaagcAGAGTTGGCGAAAAAGGATCTTATGACAACTGTGGACTCGTTGCAAAAGGAGAACAAGACGCTAAAATGTGAAATATCTACTTCatctgaaaatgtaaaaaaagcggAGTTGGCGAAGAAGGATTTAAACATAACCGTGGACTCCTTGCAACAGAAGaataaaatgctaaaatgtgAAATGGacataaatgcaaataaagcGGAGTTGGCGAAGATGGATCTTAAAGCATCCGTGGATCTGTTACAACTGGAAAAGCAGGAGCTAGAATGTGAAGTAGATCAactttgttcaaattttgataGCCTGAAGAGCGAAATGATTAGAGAGCGCGGCAAAGGGATCGGGGAAAGGAGGAGCGAAGGTCTGCCGGGTATACCCACGATAACTGGCCTCGTGATAAAAGAATGCGACAACAGCTTCTGa
- Protein Sequence
- MVEFLQDENNVLKRDVDQLHVALADMKASKDYLLEKSEALEQELAESQTLSKKVIIIEKAAEQHTTSEGSLQKEIKALKCDVEIAIKDKIKAEFAKRKLKKSEETWQRENKTLKSENDQLRLSIDCMKNEMSSQVITRDVSIKKLEDQLDSQRRLHEAEVSEDNVLEKFETLEQELKEIRIFLSRKENNPTKAEMVRQEQDLGIIVDSMRKENEVLKRDVDDLYATLVETKVIKDYLLEKLEALEQKLEESRTLLSKKDEDIIEAKLAKQDLITTVNSLQKENKTLKCEVDEIANKAELANKDHITTVDLLQKENKALKRIVDEIANEAELVNKDYITTVNFLQKALKQKNKALKRKVDENTKKAELTKKDLETIVDSLQKENKALKCKVDEIANKAELAKKDLLSTVNSLQKENKTLKCEISTSSENVKKAELAKKDLETFVDSLQKENKALKCKVDEIANKAELAKKDLMTTVDSLQKENKTLKCEISTSSENVKKAELAKKDLNITVDSLQQKNKMLKCEMDINANKAELAKMDLKASVDLLQLEKQELECEVDQLCSNFDSLKSEMIRERGKGIGERRSEGLPGIPTITGLVIKECDNSF
Similar Transcription Factors
Sequence clustering based on sequence similarity using MMseqs2
- 100% Identity
- -
- 90% Identity
- -
- 80% Identity
- -