Q0CJV3 AF NFT

Vacuolar protein sorting-associated protein 27

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeife7hvhhcw5rireuz2wl4nbafgull32m27sjngy5gn4olx4brwmgq/metadata.json
IPFS of structure file: 
bafybeifjgrymwlqgynsdwjyhpj347plw74o267rebirch2zmuetwhn2w7q/AF-Q0CJV3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC2c7ebda9f522D7F3af469396EfE2c25e34192Fa
First NFT owner address (bech32): 
genesis1ctr7hk5l2gkh7wh5dyukal3vyh35ryh6z6nf8y
Current NFT ID #497943 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497943
Accession (UniProt):
Q0CJV3
Name::
Vacuolar protein sorting-associated protein 27
Experimental Method:
Predicted structure
Sequence source:
Aspergillus terreus (strain NIH 2624 / FGSC A1156)

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 Q0CJV3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0CJV3|VPS27_ASPTN Vacuolar protein sorting-associated protein 27 OS=Aspergillus terreus (strain NIH 2624 / FGSC A1156) OX=341663 GN=vps27 PE=3 SV=1 MAGWFSSASPLDEQVERATSSSLEDIALNLEISDLIRSKSVQPKEAMRSLKRRLENKNPNVQLATLKLTDTCVKNGGTHFLAEIASREFMDNLVSLLKTEGLQLNTEVKEKMLELIQDWAMAAQGRMDLSYVGQTYQRLQEEGFRFPPKTQISGSMLESSAPPEWIDSDVCMRCRTAFSFMNRKHHCRNCGNVFDAQCSSKTLPLPHLGILQPVRVDDGCYAKLTSKAAQSSGLSDRTSFKNNSITKSSAMEPRTARAEGGFDDDLRRALQMSLEEAQNKGSSGYVPQPKVAQEPPKPSGQPTAEEEEDADLKAAIEASLRDMEEHKQKHAAALKNTTSETPSHQPQNTTTLPKNPYELSPVEVENIHLFAALVDRLQHQPPGTILREPQIQELYESIGTLRPKLARSYGETMSKHDTLLDLHSKLSTVVRYYDRMLEERLSSAYSQHSLGYGSIPSGPGYPNVYPSMPPTAEGKAGAENFYYGNSVVENPLTASNPQYPQAAPDMMSREKDTHARRPYEPQYVYTALHSLSTTILQWNGAPATDLHSPPPSANVP