Q9P7F7 AF NFT

Vacuolar-sorting protein snf7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid5qe3lpfhungoo2tpxyuvuyssvhnpsi2s36ocamokkdepeoalqiu/metadata.json
IPFS of structure file: 
bafybeihkj3g3zf2tuheofnod3nm7wjyz6fbgvclhqblwwftkg7we2zymma/AF-Q9P7F7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5DC8e905727f28f8E14d8601Ab9daaa77d7eaB40
First NFT owner address (bech32): 
genesis1thywjptj0u503c2dscq6h8d25a7ha26qdgct27
Current NFT ID #431696 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
431696
Accession (UniProt):
Q9P7F7
Name::
Vacuolar-sorting protein snf7
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

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 Q9P7F7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9P7F7|SNF7_SCHPO Vacuolar-sorting protein snf7 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=snf7 PE=3 SV=1 MSGFLRWFGGNRSKDTTKDTIVRFQEMLALYDKKEEVLERQIAEQTEIARKNATTNKRLALTALKRKKMHENELVKIEGSRNNIEQQLFSIQNANLNFETLQAMRQGAEAMKSIQRGMDADKVDQIMDKIRDQQTISEEISTMISTPVGLNAEIDEDELANELDELQQMELDSKMLGAEKPPVHTPAVPAVPSQVKDLPSISKPQELDEEEELRKLQAEFSL