Q803R2 AF NFT

Vacuolar fusion protein CCZ1 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic5z2eqiow6dsjhpmdjkt6sommhk2mcgst4vrb2qdykovjzbf6bqy/metadata.json
IPFS of structure file: 
bafybeic6yzqvtqizibuqcvjldusaame3l7zzm5kjhetmfstxfbaqqyenmu/AF-Q803R2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0A91570a0CF639a9FD80d9C8cB75c7698aaAD8f1
First NFT owner address (bech32): 
genesis1p2g4wzsv7cu6nlvqm8yvkaw8dx924k83az7tkr
Current NFT ID #55988 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
55988
Accession (UniProt):
Q803R2
Name::
Vacuolar fusion protein CCZ1 homolog
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 Q803R2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q803R2|CCZ1_DANRE Vacuolar fusion protein CCZ1 homolog OS=Danio rerio OX=7955 GN=ccz1 PE=2 SV=1 MLMISPRMASGMQEKQYTPSLLSFFIYNPKFGPREGEEEKKILFYHPIEIEKNEKIRNVGLCEAIVQFTRTFCPTKPAKSLHTQKNRQFFHEPEENYWMVMVVRNPMVEKPNKDGKPPTVEYQEEEIIDSVYGSVLQQCYSMYKLFNGTFSRAFEAGGVELLTQKLEKFFYRYLQTLHLQSCDLLDVFGGISFFPLDKMTYLKIQSFVNRVEESLSLVKYTAFLYNDQLIWSGLEQDDMRILYKYLTTSLFPRHTEPELAGRDSPLRPEVAGNLLHYGRFLTGPANLKDPEAKFRFPRIFVNTEDSCEELHLIVYKAMSAAVCFMINASVDLNREFCEKLDSLVGPQLTLLASDICEQYNINRRISGPEKEPQFKFIYFNHMNLAEKSTIHMRKMASVSLTSVHPDLMKILGDINCDFARVDEDEEIIVKAMTDYWVVGKKSDQRELYVILNQKNANLIEVNEEVKRLCATQFNNIFFLD