Q7SYB5 AF NFT

Differentially expressed in FDCP 6 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib5xzfiyh6tepm2puwzil6wzr3agr7bwllkngicrwf7b2kv4fxdd4/metadata.json
IPFS of structure file: 
bafybeife2ewy72xa77z6gue7bwhetfbcvtbc7wbzevndkvnuxbluq7e6dq/AF-Q7SYB5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xab9043322A71a81ea610290ba422DBfFACaFffDf
First NFT owner address (bech32): 
genesis14wgyxv32wx5pafss9y96ggkml7k2ll7lxk5hnh
Current NFT ID #94045 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
94045
Accession (UniProt):
Q7SYB5
Name::
Differentially expressed in FDCP 6 homolog
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q7SYB5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7SYB5|DEFI6_DANRE Differentially expressed in FDCP 6 homolog OS=Danio rerio OX=7955 GN=def6 PE=2 SV=1 MDLRSELLKSIWYAFTALDVEKSGKVSKSQLKVLSHNLYTVLKIPHEAAALEEHFRDDDDGPVSSQGYMPYLNKYILDKVVEGTFVKENVDELCWTLTAKKNYRPEGKSILPAKDAFRLWCLFIFLSEDRYPLVMIPDEVEYLLKKFCMAMSVELNYVELEDFISQDSVQQNGFTVWTFLEMMNSGKLTRGIAKETVSMAIEEVYREIVGDVLKEGYLWKKGQLRRNWTERWFTLRPSTLLYFTSEDRKDHKGNIQLDGNCCVEVLPDRDGKRCMFCLKTLTKTYELSASDTKQRQEWTTAIQTAIRLYVEGKTSLHKDLKLKRRDQREQREKRREAKEQELQRLRALQEERERKMAELELLKEAQRQAQAMLEQDEQRRRQQHEQLHQALEIQLKEAEEARASMQAEMALKEAEAEKQRTRIRELEAMQQRLEDALQQEIKARQDEEAFRYAQARLLAEEEEKMKALMGLREEQEEYIQRAQREKQELRQEMESKSRALEEAQRQLEETRANRYRVDQDVVAAQRKLRQASTNVKHWNVQMNRLMHPIGPGEKRSSGGSFSSFRIPSQKDPALRQKQKSEEQDEESKENMESRGGCEADRRLSTNGQMEIP