Basic Information

Gene Symbol
sip1
Assembly
GCA_008973525.1
Location
Contig251:176393-180014[+]

Transcription Factor Domain

TF Family
GCFC
Domain
GCFC domain
PFAM
PF07842
TF Group
Unclassified Structure
Description
This entry describes a domain found in a number of GC-rich sequence DNA-binding factor proteins and homologues [4, 5], as well as in a number of other proteins including Tuftelin-interacting protein 11 [1]. While the function of the domain is unknown, some of the proteins it is found in are reported to be involved in pre-mRNA splicing [1, 2]. This domain is also found in Sip1, a septin interacting protein [3].
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 1 6.2e-46 4.6e-42 144.2 4.1 7 275 378 630 372 630 0.95

Sequence Information

Coding Sequence
ATGTCGGAGGACGAACTAGAGAGGTTTGAGGTTACCGATTATGATTTGGACAATGAATTCAATGTCAATCGTTTCAAAAAGAAGCTTACAAAAGAGCAGCAGTATTTGGGAATATGGGCTGACAGTGATGAAGAACATGACGAAAACTTTGATTCGAAGAAGAAAGGCAAAAAATCTAAAGATTACACCATTCCAATAGGGTTTGTCGCTGGTGGAGTGCAGAAACCTGGAAAACATGACGAAGAAAAAGACAGTCAAATAATTGAAATAACATTTGCAGAAAAACCAGTATCTAAAAATGAGACTGCGGCAGAAATGGGTAACTCTTCTTCTGAAGATGAAGTTGAGAAACCCGTGGATGAGACACAAATGGCTGGATTACGGAAACGCGGCATGATGGGATTTCAGCCTCAATTTCAATCTAGTGGTGTTGGAAACTGGGAGAAACATACTAAAGGAATTGGTGCCAAGCTTCTGTTACAGATGGGATATGAACCCGGCAAAGGGTTAGGAAAATCACTTCAAGGTATGTCTACACCTATAACAGCAACATTAAGAAAAGGTAGAGGTGCCATCGGTGCATATGGACCAGAGGTATTTTTTATCAGTACATTTACTATAGAAGAAGGCAAAAAAAATGATGGTGAAAGCGAGGAAAAAAAATCATATCAATGGAAGAAGGTTCATAAGAAACGCTATTTTTATAGAGATGCCGAAGATGTTATACAAGAAGGCAAACCTACTCCTCCTGCACACACCCATGCTGCCCTTGCCAGAGTTACCGTGATTGATATGCGTGGACCTGAGAAGCGAGTTTTGAGTGGTTATCATGCATTAAGAGCGGCTGCACCTCGCTATGAAGATGTATCAAGAAAGGAATGTGCTAATTTGGTTTTGCCGGAATTGATTCATAATCTCAATTTATTAGTTGATATGTGCGAACAGGATATAATTGATTGTTCACGTGAAAGTCAGACGGCTGAAGATAGAGAGGTTGCGCTGATACGCGATAAGAGAGCTTTGGAAGAAAGCTTAGTACAGAACGTCGATGAAATAATTACAATGGAAGAAATACTCAGTGAAATTAAAAAATTAGATAAGGCTGACTTGTCTTTAGACGATGCTTATGTGATATATAAAAAAATACAGGTCAAACATCCTGTGGAATATGAATGTTTAGGATTAGGTAGTTTAGGTGCATCTGCTGGTTGTTTACGAAGCTTAATGGGTGCATCGTTAGCCCAATGGTTACCTCTACGGTCACCTCATGCACCGATAACAATATTAGAAAAATGGACGTCGCTTTTAACACCGCAAGCCTTACAGGATATTTTTTGGCGTGCTTGGCTTGAACAGATTCAACTGGCATCTCTGGAATGGGATGTTCGTGAACCGCTACCAATGAAAACAGTTATTGAAACGTGGATATGCTTAGCACCACAACCAGAAATTCGTACCATTTTACGTTCCGCTATTGTACCTCGTTTGACATCGGCAGCTATCCGATGGGATCCTACTGTTGACACTCTTCCGTTACATTATTGGATTTTACCATGGCATCAATATGCAGGTGATCTGCTTGAAGAATCTGTCTATCCAGAACTACGGTCACGTCTTGTCAATGCACTATCTGCATGGCATCCAGCAGATGGTTCAGCTTTAGCATTGTTACGACCATGGTCACAAGCTTGGTCCTTAGCCCTTCCTGCTTTAACAAGAGCACATATTCTTCCACGACTTGAGACATGTATGCGTACCATTCCAGTCGAACCAGATTGTAATCCCAATGAGACATGGGGTTGGTGTGCATGTTGGCAAGAGATAATTGGAGCTCGTGCATTGGCTGGAGCAGCAGGCCGTGCCCTTTTATCACGCTGGTTAGCAGCGTTGGCTGCCTGGTTGAATCGCCGTCCACCTCATGCGCATCTTATATCACATTACAGCACATGGAAGGGTATGTTCTCTGAAGAGCTCCTGAGAGAACCAGAATTTACTGACGTATTCCGCAAAGCTTTGGATATGATGAACAGATCAATGGATTCGCCAGTTCAGGCGCCACCTCCTCCACCTCCGGCTAGGATTTCCGCAATGGCTAATTCTCAAGGGATTGCTGACGTTATGGCTAGCAATAATCAACAAAAGAGCTTTACAGAGCTTTTGGAGAGTCGTTGTTCAGAGCGGGGCATAGGTTTTGTTCCGATGGTTGGCAGAACCAGAGAAGGACGACCATTGTTCAGAATGGGCTCAAACATTCAATGTTATGTCATGCGAAATGTCGTTATGTATTCAAATGACATGGGAAGGACATTCCAGCCGGTTGCGCTTGAAAATCTACTTCAAATCGCTTCTAATCAACCATAG
Protein Sequence
MSEDELERFEVTDYDLDNEFNVNRFKKKLTKEQQYLGIWADSDEEHDENFDSKKKGKKSKDYTIPIGFVAGGVQKPGKHDEEKDSQIIEITFAEKPVSKNETAAEMGNSSSEDEVEKPVDETQMAGLRKRGMMGFQPQFQSSGVGNWEKHTKGIGAKLLLQMGYEPGKGLGKSLQGMSTPITATLRKGRGAIGAYGPEVFFISTFTIEEGKKNDGESEEKKSYQWKKVHKKRYFYRDAEDVIQEGKPTPPAHTHAALARVTVIDMRGPEKRVLSGYHALRAAAPRYEDVSRKECANLVLPELIHNLNLLVDMCEQDIIDCSRESQTAEDREVALIRDKRALEESLVQNVDEIITMEEILSEIKKLDKADLSLDDAYVIYKKIQVKHPVEYECLGLGSLGASAGCLRSLMGASLAQWLPLRSPHAPITILEKWTSLLTPQALQDIFWRAWLEQIQLASLEWDVREPLPMKTVIETWICLAPQPEIRTILRSAIVPRLTSAAIRWDPTVDTLPLHYWILPWHQYAGDLLEESVYPELRSRLVNALSAWHPADGSALALLRPWSQAWSLALPALTRAHILPRLETCMRTIPVEPDCNPNETWGWCACWQEIIGARALAGAAGRALLSRWLAALAAWLNRRPPHAHLISHYSTWKGMFSEELLREPEFTDVFRKALDMMNRSMDSPVQAPPPPPPARISAMANSQGIADVMASNNQQKSFTELLESRCSERGIGFVPMVGRTREGRPLFRMGSNIQCYVMRNVVMYSNDMGRTFQPVALENLLQIASNQP

Similar Transcription Factors

Sequence clustering based on sequence similarity using MMseqs2

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