Q7ZV68 AF NFT

Vacuolar protein sorting-associated protein 29

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig3hfebqvl25engtymzohk5zlt64wobptezcsjpyr62icnt5eto6q/metadata.json
IPFS of structure file: 
bafybeib7xkmsq4tawfjbguj3qa7cnzbl6s3jaky5bjfwc2jmxyulqhoqku/AF-Q7ZV68-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBB1D3571872A67aeC4Ab7345D1b8fE641B0bA06A
First NFT owner address (bech32): 
genesis1hvwn2uv89fn6a39twdzarw87vsdshgr2r6e8uv
Current NFT ID #497974 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497974
Accession (UniProt):
Q7ZV68
Name::
Vacuolar protein sorting-associated protein 29
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 Q7ZV68 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7ZV68|VPS29_DANRE Vacuolar protein sorting-associated protein 29 OS=Danio rerio OX=7955 GN=vps29 PE=2 SV=1 MLVLVLGDLHIPHRCNTLPAKFKKLLVPGKIQHILCTGNLCTKESYDYLKTLAGDVHIVRGDFDENLNYPEQKVVTVGQFKIGLIHGHQVIPWGDMASLALLQRQLDVDILISGHTHKFEAFENENKFYINPGSATGAYSALESNITPSFVLMDIQASTVVTYVYQLIGDDVKVERIEYKKS