Q12016 AF NFT

Vacuolar protein sorting-associated protein 68

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib7ioc7ccozud6rg5lnjpoakkbumbbf5algvceh66xgpyezl4r5um/metadata.json
IPFS of structure file: 
bafybeie55obuynelhgmkspq2jhnn76hqzvu5wyxlrailsjk334ns2cmfti/AF-Q12016-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x81eA0F088febd3E6e2e30C949b1cA8223f676d59
First NFT owner address (bech32): 
genesis1s84q7zy0a0f7dchrpj2fk89gyglkwm2ek39g5m
Current NFT ID #498101 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
498101
Accession (UniProt):
Q12016
Name::
Vacuolar protein sorting-associated protein 68
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN ATCC 204508 / S288C)

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 Q12016 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q12016|VPS68_YEAST Vacuolar protein sorting-associated protein 68 OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=VPS68 PE=1 SV=1 MEADDHVSLFRFPFKIPTFRGIRKGGVYLSGALYALGFWIFLDAVLYSRYSNASDVHVTFIDWIPFLCSTLGTLIVNSIEKNRLLQGALSSDGGAFGSGVGDLDSSMAWQARTVLFFGFALLAGGLSGSIVVLIIKFLVKDYNTYPTLGMGVNNVLGNVCILLSCVVLWIAQNVEDEYSYSLTL