Q9FYH7 AF NFT

Vacuolar-sorting receptor 6

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifgy7rw4wzmt6zpzg2rypb7ohdclnwtblthf5e47cegmts6auiuze/metadata.json
IPFS of structure file: 
bafybeigrt57a3mvdsct24mjrlyk2x6qiixxf2ajk6focbz4q23is7w2eii/AF-Q9FYH7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5548CBD0056D8b2CE423c442c9ED70e67Bed2558
First NFT owner address (bech32): 
genesis124yvh5q9dk9jeeprc3pvnmtsuea76f2c86jae0
Current NFT ID #498506 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
498506
Accession (UniProt):
Q9FYH7
Name::
Vacuolar-sorting receptor 6
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9FYH7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FYH7|VSR6_ARATH Vacuolar-sorting receptor 6 OS=Arabidopsis thaliana OX=3702 GN=VSR6 PE=2 SV=3 MSLIHKGATLALFLALTMVVNGVFGRFIVEKSSVTILNPLAMRSKHDAAIANFGVPNYGGYMIGSVVYAGQGAYGCDSFDKTFKPKFPRPTILIIDRGECYFALKVWNGQQSGVAAVLVADNVDEPLITMDSPEESKEADDFIEKLNIPSALIDFSFANTLKQALKKGEEVVLKIDWSESLPHPDERVEYELWTNTNDECGARCDEQMNFVKNFKGHAQILEKGGYSLFTPHYITWFCPKDYVSSNQCKSQCINQGRYCAPDPEQDFGDGYDGKDIVFENLRQLCVHKVAKENNRSWVWWDYVTDFHIRCSMKEKKYSKECAERVVESLGLPLDKIKKCIGDPDANVENEVLKAEQALQVGQGDRGDVTILPTLIVNNAQYRGKLERNAVLKAICSGFKERTEPGICLSGDIETNECLEANGGCWEDKKSNVTACKDTFRGRVCECPVVNGVQYKGDGYTSCEPYGPARCSINQGGCWSETKKGLTFSACSNLETSGCRCPPGFKGDGLKCEDIDECKEQSACQCDGCNCKNKWGGFECKCSGNRLYMKEQDTCIERSGSRIGWFPTFVILAAVASICVGGYVFYKYRLRSYMDSEIMAIMSQYMPLESQNTTDPMTGESQHQQLRLTSAA