Q7ZVK4 AF NFT

Vacuolar protein-sorting-associated protein 36

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih6sjdhdr5jsj4zqs3gy2wuwtqo7icdjttvsy4zfexqf73wwbfs6q/metadata.json
IPFS of structure file: 
bafybeidxgifqljutdt75igmcccbxc7r6g7p6u6epqfrpal4oqut2ijjgve/AF-Q7ZVK4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x11128DEF0b9dfff25C8dDAc643E43D436D58a8FD
First NFT owner address (bech32): 
genesis1zyfgmmctnhllyhydmtry8epagdk4328av9pv6m
Current NFT ID #498002 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
498002
Accession (UniProt):
Q7ZVK4
Name::
Vacuolar protein-sorting-associated protein 36
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 Q7ZVK4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7ZVK4|VPS36_DANRE Vacuolar protein-sorting-associated protein 36 OS=Danio rerio OX=7955 GN=vps36 PE=2 SV=1 MDRFMWTNGLLEMNETLVIQQRGVRLYDGEDKAKLDVGGVVLSTHRLLWRDQKNHECCICIPLSQVIFFEEQAAGIGKSAKIVIHLHPAPENKEPGPYQHSKYSYIKLSFKEHGQIEFYRRLTEEMTQKRWENTPVSQPIPTGTGPKAGRTRAVGIVGIERKLEEKRKETDKNISEAFEDLSKLMEKAKEMVELSRSIANKIKDKQGDITEDETIRFKSYLLSMGIANPVTRETHGSGTQYHIQLAKQLGDMLQAPLEERGGMMALTEVYCLVNRARGMELLSPEDLVNACKIFESLKLPLRLRVFDSGVMVVQLQSHSEEEMIASALDNVSDKGSLTAEEFAKLLGLSVLLAKERLLLAEKMGHLCRDDSVEGLRFYPNLF