Basic Information

Insect: Nycteola revayana
Gene Symbol: alpha-Spec
Assembly: GCA_947037095.2
Location: OX344845.2:2572921-2588127[-]

Transcription Factor Domain

TF Family: zf-MIZ
Domain: zf-MIZ domain
PFAM: PF02891
TF Group: Zinc-Coordinating Group
Description: This domain has SUMO (small ubiquitin-like modifier) ligase activity and is involved in DNA repair and chromosome organisation [1][2].
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 9 0.00088 11 6.9 0.3 24 43 491 510 487 511 0.94

2 9 0.00088 11 6.9 0.3 24 43 560 579 556 580 0.94

3 9 0.012 1.4e+02 3.3 0.1 24 42 629 647 625 648 0.92

4 9 0.00088 11 6.9 0.3 24 43 698 717 694 718 0.94

5 9 0.00088 11 6.9 0.3 24 43 767 786 763 787 0.94

6 9 0.00088 11 6.9 0.3 24 43 836 855 832 856 0.94

7 9 0.00088 11 6.9 0.3 24 43 905 924 901 925 0.94

8 9 0.00088 11 6.9 0.3 24 43 974 993 970 994 0.94

9 9 0.00088 11 6.9 0.3 24 43 1043 1062 1039 1063 0.94

#	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	9	0.00088	11	6.9	0.3	24	43	491	510	487	511	0.94
2	9	0.00088	11	6.9	0.3	24	43	560	579	556	580	0.94
3	9	0.012	1.4e+02	3.3	0.1	24	42	629	647	625	648	0.92
4	9	0.00088	11	6.9	0.3	24	43	698	717	694	718	0.94
5	9	0.00088	11	6.9	0.3	24	43	767	786	763	787	0.94
6	9	0.00088	11	6.9	0.3	24	43	836	855	832	856	0.94
7	9	0.00088	11	6.9	0.3	24	43	905	924	901	925	0.94
8	9	0.00088	11	6.9	0.3	24	43	974	993	970	994	0.94
9	9	0.00088	11	6.9	0.3	24	43	1043	1062	1039	1063	0.94

Sequence Information

Coding Sequence: ATGGAGCAGATCCCACCACCCAAGGAGGTGAAGATCCTCGAGACTGCCGAGGATATCCAGGAGAGACGTGAGCAGGTGCTGAACCGCTATGAAGACTTCAAGCAGGAAGCCCGCGCTAAGCGTGAGAAGCTCGAAGATTCACGTCGCTTCCAGTACTTCAAGCGTGATGCCGACGAGCTCGAGTCGTGGATCCAGGAGAAGCTgcaggcggccagcgatgagaGCTACAAAGACCCCACCAACTTGCAGGCCAAGATCCAAAAGCACCAGGCTTTCGAAGCCGAGGTGGCGGCCCACTCCAACGCCATCGTGGTGCTGGACAACACCGGCAGCGAAATGATCTCCGCTGGTCACTTTGCCTCGGAAACCATCCGCAGGCGCCTGGAAGAGCTGCACAGACTCTGGGAGCTGCTGCTCTCCCGTTTGGCAGAGAAGGGCATGAAGCTGCAGCAGGCGCTCGTGTTGGTGCAGTTCTTGAGGCACTGCGATGAGGTCATGTTCTGGATTCATGACAAGGAAACGTTCGTATGCGCCGACGAGTTCGGCTCGGACCTGGAGCACGTGGAGGTGCTCCAGCGCAAGTTCGACGAGTTCCAGAAGGACATGGCTGCGCAGGAGTACCGCGTCACCGAGGTCAACCAGTTGGCCGAGCGCCTCGTGCTCGAAGGACACCCCGAGAGAGAGACCATCGTTAAAAGGAAGGATGAGCTGAACGAGGCATGGCAGCGTCTCCGCCAGATGGCTCTCATGCGACAGGAGCGCTTGTTCGGCGCGCACGAGATCCAGCGGTTCAACCGTGACGCTGACGAGACCATCGCTTGGATCTCGGAGAAGGATGTCGTATTGGGATCCGATGACTATGGACGGGACCTCGCCACTGTGCAGACCCTTCAGCGCAAGCACGAGGGCGTGGAGCGCGACCTGGCGGCGCTGGAGGACAAGGTGTCGACGCTCAACGGCGAGGCCGAGCGCCTGGCCGCCATCCACGCCGACCACGCGCCCGCCATACACTCCAAGCGCGACGAGATCACGCTGGCCTGGCAGAAGCTCGTGCAGAAGGCTAAGCACGCAAATTTAGTTAAAATGACTATATGGAGACCTTCGTTGTGTAACATGGGATCGGAACGTCCGCAGGAGCGCCGCTCGGAGCTGGAGTCGTCGCACGCGCTGCACCGGTTCCTGGCGGACTACCGCGACCTGGTGTCGTGGCTCAGCGACATGCGCGCGCTCATCGCCGCCATCGACCTCGCCAAGGACGTGCCCGGCGCCGAGGCGCTGCTCGAGAAGCACCAGGAGCACAAGGGCGAGATGGACGCCCGCTCAGACGTGATCCACGCGTGCGCGGGCGCGGGGCAGGCGCTGGTGGAGGGCGGCCACCGCGCGGCAGGCGAGGTGGCGGGCGCGCTGGACGCGCTGCAGCGCGAGTCCTCCGCGCTGCAGCAGCTGTGGGAGCAGCGCCGCGTGCTGTACCTGCAGTGCATGGACCTGCAGCTCTTCTACCGCGACACCGAGCAGGCCGACGCCTGGATGCACAAGCAGGAGGTACGTCCCACTCGTTGTACTATCTATCGTGATCCACGCTGGTGGAGGGCGGGCGAGGTGGCGGGCGCGCTGGACGCGCTGCAGCGCGAGTCCTCCGCGCTGCAGCAGCTGTGGGAGCAGCGCCGCGTGCTGTACCTGCAGTGCATGGACCTGCAGCTCTTCTACCGCGACACCGAGCAGGCCGACGCCTGGATGCACAAGCAGGAGGTACGTCCCACTCGTTGTACTATCTATCGTGATCCACGCTGGTGGAGGGCGGGCGAGGTGGCGGGCGCGCTGGACGCGCTGCAGCGCGAGTCCTCCGCGCTGCAGCAGCTGTGGGAGCAGCGCCGCGTGCTGTACCTGCAGTGCATGGACCTGCAGCTCATCTACCGCGACACCGAGCAGGCCGACGCCTGGATGCACAAGCAGGAGGTACGTCCCACTCGTTGTACTATCTATCGTGATCCACGCTGGTGGAGGGCGGGCGAGGTGGCGGGCGCGCTGGACGCGCTGCAGCGCGAGTCCTCCGCGCTGCAGCAGCTGTGGGAGCAGCGCCGCGTGCTGTACCTGCAGTGCATGGACCTGCAGCTCTTCTACCGCGACACCGAGCAGGCCGACGCCTGGATGCACAAGCAGGAGGTACGTCCCACTCGTTGTACTATCTATCGTGATCCACGCTGGTGGAGGGCGGGCGAGGTGGCGGGCGCGCTGGACGCGCTGCAGCGCGAGTCCTCCGCGCTGCAGCAGCTGTGGGAGCAGCGCCGCGTGCTGTACCTGCAGTGCATGGACCTGCAGCTCTTCTACCGCGACACCGAGCAGGCCGACGCCTGGATGCACAAGCAGGAGGTACGTCCCACTCGTTGTACTATCTATCGTGATCCACGCTGGTGGAGGGCGGGCGAGGTGGCGGGCGCGCTGGACGCGCTGCAGCGTGAGTCCTCCGCGCTGCAGCAGCTGTGGGAGCAGCGCCGCGTGCTGTACCTGCAGTGCATGGACCTGCAGCTCTTCTACCGCGACACCGAGCAGGCCGACGCCTGGATGCACAAGCAGGAGGTACGTCCCACTCGTTGTACTATCTATCGTGATCCACGCTGGTGGAGGGCGGGCGAGGTGGCGGGCGCGCTGGACGCGCTGCAGCGCGAGTCCTCCGCGCTGCAGCAGCTGTGGGAGCAGCGCCGCGTGCTGTACCTGCAGTGCATGGACCTGCAGCTCTTCTACCGCGACACCGAGCAGGCCGACGCCTGGATGCACAAGCAGGAGGTACGTCCCACTCGTTGTACTATCTATCGTGATCCACGCTGGTGGAGGGCGGGCGAGGTGGCGGGCGCGCTGGACGCGCTGCAGCGCGAGTCCTCCGCGCTGCAGCAGCTGTGGGAGCAGCGCCGCGTGCTGTACCTGCAGTGCATGGACCTGCAGCTCTTCTACCGCGACACCGAGCAGGCCGACGCCTGGATGCACAAGCAGGAGGTACGTCCCACTCGTTGTACTATCTATCGTGATCCACGCTGGTGGAGGGCGGGCGAGGTGGCGGGCGCGCTGGACGCGCTGCAGCGCGAGTCCTCCGCGCTGCAGCAGCTGTGGGAGCAGCGCCGCGTGCTGTACCTGCAGTGCATGGACCTGCAGCTCTTCTACCGCGACACCGAGCAGGCCGACGCCTGGATGCACAAGCAGGAGGTACGTCCCACTCGTTGTACTATCTATCGTGATCCACGCTGGTGGAGGGCGGGCGAGGTGGCGGGCGCGCTGGACGCGCTGCAGCGCGAGTCCTCCGCGCTGCAGCAGCTGTGGGAGCAGCGCCTCATCTGA
Protein Sequence: MEQIPPPKEVKILETAEDIQERREQVLNRYEDFKQEARAKREKLEDSRRFQYFKRDADELESWIQEKLQAASDESYKDPTNLQAKIQKHQAFEAEVAAHSNAIVVLDNTGSEMISAGHFASETIRRRLEELHRLWELLLSRLAEKGMKLQQALVLVQFLRHCDEVMFWIHDKETFVCADEFGSDLEHVEVLQRKFDEFQKDMAAQEYRVTEVNQLAERLVLEGHPERETIVKRKDELNEAWQRLRQMALMRQERLFGAHEIQRFNRDADETIAWISEKDVVLGSDDYGRDLATVQTLQRKHEGVERDLAALEDKVSTLNGEAERLAAIHADHAPAIHSKRDEITLAWQKLVQKAKHANLVKMTIWRPSLCNMGSERPQERRSELESSHALHRFLADYRDLVSWLSDMRALIAAIDLAKDVPGAEALLEKHQEHKGEMDARSDVIHACAGAGQALVEGGHRAAGEVAGALDALQRESSALQQLWEQRRVLYLQCMDLQLFYRDTEQADAWMHKQEVRPTRCTIYRDPRWWRAGEVAGALDALQRESSALQQLWEQRRVLYLQCMDLQLFYRDTEQADAWMHKQEVRPTRCTIYRDPRWWRAGEVAGALDALQRESSALQQLWEQRRVLYLQCMDLQLIYRDTEQADAWMHKQEVRPTRCTIYRDPRWWRAGEVAGALDALQRESSALQQLWEQRRVLYLQCMDLQLFYRDTEQADAWMHKQEVRPTRCTIYRDPRWWRAGEVAGALDALQRESSALQQLWEQRRVLYLQCMDLQLFYRDTEQADAWMHKQEVRPTRCTIYRDPRWWRAGEVAGALDALQRESSALQQLWEQRRVLYLQCMDLQLFYRDTEQADAWMHKQEVRPTRCTIYRDPRWWRAGEVAGALDALQRESSALQQLWEQRRVLYLQCMDLQLFYRDTEQADAWMHKQEVRPTRCTIYRDPRWWRAGEVAGALDALQRESSALQQLWEQRRVLYLQCMDLQLFYRDTEQADAWMHKQEVRPTRCTIYRDPRWWRAGEVAGALDALQRESSALQQLWEQRRVLYLQCMDLQLFYRDTEQADAWMHKQEVRPTRCTIYRDPRWWRAGEVAGALDALQRESSALQQLWEQRLI

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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