Q5U3V9 AF NFT

Vacuolar-sorting protein SNF8

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihkwkrrpusgteguqyzuqkjbatq4xks3ox3opbdm3oaw3plgbszz6i/metadata.json
IPFS of structure file: 
bafybeif5fbkqo6smskpzwlwzu2ylzdm6vxquosqrtxn6gnncoyjxfbu5vm/AF-Q5U3V9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe8Ff306D2a96E48e768B46bDe084fFd507F5Db4B
First NFT owner address (bech32): 
genesis1arlnqmf2jmjgua5tg677pp8l65rltk6t7vr55p
Current NFT ID #431699 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
431699
Accession (UniProt):
Q5U3V9
Name::
Vacuolar-sorting protein SNF8
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 Q5U3V9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5U3V9|SNF8_DANRE Vacuolar-sorting protein SNF8 OS=Danio rerio OX=7955 GN=snf8 PE=2 SV=2 MHRRGVGAGAIAKKKLAEAKYKERGSVLAEDQIAQMSKQLDTFKTHLEEFASKHKQEIRKSSQFRVQFQEMCATIGVDPLASGKGFWSEMLGVGDFYYELGVQIIEVCLALKHRNGGLITLDELHHRVLKGRGKFAQDVSQDDLVRAIKKLKAMGNGFGMIPVGGTYLVQSVPAELNMDHTVVLQLAEKKGYVTVSEIRESLKWEKERACHVLDHLLKEGLAWLDSQAAGEPQYWLPALFSELLSQDVTPEEANQMTP