Q9QXW4 AF NFT

Fascin-3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaqj22dfi37o3imvtag4r32ub5c6kfsvqertm6doy4mtssf2owxxy/metadata.json
IPFS of structure file: 
bafybeifbskcw327uganou5r4pgrk3pyvboonoyxtdseelg4gpsqfowslwq/AF-Q9QXW4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x639870EDE39Ab857257B9Fd8C31ebe8E02b985Ac
First NFT owner address (bech32): 
genesis1vwv8pm0rn2u9wftmnlvvx8473cptnpdvvpwfqz
Current NFT ID #136476 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
136476
Accession (UniProt):
Q9QXW4
Name::
Fascin-3
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9QXW4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9QXW4|FSCN3_MOUSE Fascin-3 OS=Mus musculus OX=10090 GN=Fscn3 PE=2 SV=2 MAEVDWIHRHPKAEDLRVGLISWAGTYLTFEAYKSSVTASAKSLGRRQTWELLVSNEHESQAVIRLKSLQGLYLLCEADGTVCYGRPRTSHHGCFLLRFHRNGKWTLQCIISGRYLESDGEDVFCNSRVLSAYHMWTPRPALHVHVILYSPIYHSYARADHTVGRIWVDAAIPCLEECGFLLHFQDGCYHLETSTHHFLSRVDRLVPQRSSQTAFHMQVRPRGLVALCDGEGGTLYPQGSHLLLGMGSAPMKGEEWFVLQHFPTWVSLKSKSRRFLSVIYDAEVCAASERLTQMSLFQYECDSETPTLQLRSANGYYLAQRRHRAIIADGHPMESDTFFRVHWNCGKITLQSPNGRFLGIASDGLLMANVTIPGPNEELGIRFANRPFLVLRGRYGYVGSSSDHDLLKCNMDQPDCIQLLPCRQGIYHFQAQGGSFWSITSFGTFRPWGKFALNFCIELQGSSLLTVLAPNGFYLRADRSGTLLADSEEITKECIWEF