Q6NWF4 AF NFT

Vacuolar protein-sorting-associated protein 25

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifewjsahseqqcujao7jfq42vtz6acv4cwlbovpelagyei3v6o2stq/metadata.json
IPFS of structure file: 
bafybeiahh2gsevwt2runoarfhh6ktdnrnuoauic6hql2e7ifth4o63tjxu/AF-Q6NWF4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9B130d619fCFc21d0D08E5Ce38Cf42A5fbe230CB
First NFT owner address (bech32): 
genesis1nvfs6cvlelpp6rgguh8r3n6z5ha7yvxthx8q26
Current NFT ID #497925 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
497925
Accession (UniProt):
Q6NWF4
Name::
Vacuolar protein-sorting-associated protein 25
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 Q6NWF4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6NWF4|VPS25_DANRE Vacuolar protein-sorting-associated protein 25 OS=Danio rerio OX=7955 GN=vps25 PE=2 SV=2 MSFEWPWQYNFPPFFTLQPNVDTRQKQLAAWCSLVLSYCRHRKLYTLDVLEAQESPVFNNKKIERKLSVEAIQVVFEELRKKGNLEWLDKNKSRCLIMWRRPEEWGKLIYQWVSKNGMVNSVFTLYELANGDDTEKEEFHGLEDWMLLRSLQALQTDGKAEIITMDDGKGVKFF