Details for: EVA1C
Associated with
Other Information
Genular Protein ID: 2284547991
Symbol: EVA1C_HUMAN
Name: Protein eva-1 homolog C
UniProtKB Accession Codes:
Database IDs:
Citations:
PubMed ID: 11707072
Title: From PREDs and open reading frames to cDNA isolation: revisiting the human chromosome 21 transcription map.
PubMed ID: 11707072
PubMed ID: 12975309
Title: The secreted protein discovery initiative (SPDI), a large-scale effort to identify novel human secreted and transmembrane proteins: a bioinformatics assessment.
PubMed ID: 12975309
DOI: 10.1101/gr.1293003
PubMed ID: 10830953
PubMed ID: 15489334
Title: The status, quality, and expansion of the NIH full-length cDNA project: the Mammalian Gene Collection (MGC).
PubMed ID: 15489334
DOI: 10.1101/gr.2596504
PubMed ID: 19470522
Sequence Information:
- Length: 441
- Mass: 49483
- Checksum: 31B2C9C12915ACD4
- Sequence:
MLLPGRARQP PTPQPVQHPG LRRQVEPPGQ LLRLFYCTVL VCSKEISALT DFSGYLTKLL QNHTTYACDG DYLNLQCPRH STISVQSAFY GQDYQMCSSQ KPASQREDSL TCVAATTFQK VLDECQNQRA CHLLVNSRVF GPDLCPGSSK YLLVSFKCQP NELKNKTVCE DQELKLHCHE SKFLNIYSAT YGRRTQERDI CSSKAERLPP FDCLSYSALQ VLSRRCYGKQ RCKIIVNNHH FGSPCLPGVK KYLTVTYACV PKNILTAIDP AIANLKPSLK QKDGEYGINF DPSGSKVLRK DGILVSNSLA AFAYIRAHPE RAALLFVSSV CIGLALTLCA LVIRESCAKD FRDLQLGREQ LVPGSDKVEE DSEDEEEEED PSESDFPGEL SGFCRTSYPI YSSIEAAELA ERIERREQII QEIWMNSGLD TSLPRNMGQF Y
Genular Protein ID: 2770627838
Symbol: B3KWG0_HUMAN
Name: N/A
UniProtKB Accession Codes:
Database IDs:
Sequence Information:
- Length: 346
- Mass: 38762
- Checksum: B0F6C0EE1D3559BC
- Sequence:
MCSSQKPASQ REDSLTCVAA TTFQKVLDEC QNQRACHLLV NSRVFGPDLC PGSSKYLLVS FKCQPNELKN KTVCEDQELK LHCHESKFLN IYSATYGRRT QERDICSSKA ERLPPFDCLS YSALQVLSRR CYGKQRCKII VNNHHFGSPC LPGVKKYLTV TYACVPKNIL TAIDPAIANL KPSLKQKDGE YGINFDPSGS KVLRKDGILV SNSLAAFAYI RAHPERAALL FVSSVCIGLA LTLCALVIRE SCAKDFRDLQ LGREQLVPGS DKVEEDSEDE EEEEDPSESD FPGELSGFCR TSYPIYSSIE AAELAERIER REQIIQEIWM NSGLDTSLPR NMGQFY
Database document:
This is a preview of the gene's schema. Only a few entries are kept for 'singleCellExpressions,' 'mRNAExpressions,' and other large data arrays for visualization purposes. You can zoom in with the mouse wheel for a closer view, and the text will adjust automatically if necessary. For the full schema, download it here.