Q39044 AF NFT

Vacuolar-processing enzyme beta-isozyme

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiacqtde7j25s2lqwchw4oiq4vkrrsqeinvd2z2c2lmne6k3gzwrsq/metadata.json
IPFS of structure file: 
bafybeiczhqygurw7wqatb3lz2fbdk3t27lgymtt5urf5vjyce7wsid2sui/AF-Q39044-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3298b100681D3A2372Bba3b2f282750dD71629B9
First NFT owner address (bech32): 
genesis1x2vtzqrgr5azxu4m5we09qn4pht3v2de5478nd
Current NFT ID #497774 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
497774
Accession (UniProt):
Q39044
Name::
Vacuolar-processing enzyme beta-isozyme
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q39044 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q39044|VPEB_ARATH Vacuolar-processing enzyme beta-isozyme OS=Arabidopsis thaliana OX=3702 GN=bVPE PE=1 SV=3 MAKSCYFRPALLLLLVLLVHAESRGRFEPKILMPTEEANPADQDEDGVGTRWAVLVAGSSGYGNYRHQADVCHAYQILRKGGLKEENIVVLMYDDIANHPLNPRPGTLINHPDGDDVYAGVPKDYTGSSVTAANFYAVLLGDQKAVKGGSGKVIASKPNDHIFVYYADHGGPGVLGMPNTPHIYAADFIETLKKKHASGTYKEMVIYVEACESGSIFEGIMPKDLNIYVTTASNAQESSYGTYCPGMNPSPPSEYITCLGDLYSVAWMEDSETHNLKKETIKQQYHTVKMRTSNYNTYSGGSHVMEYGNNSIKSEKLYLYQGFDPATVNLPLNELPVKSKIGVVNQRDADLLFLWHMYRTSEDGSRKKDDTLKELTETTRHRKHLDASVELIATILFGPTMNVLNLVREPGLPLVDDWECLKSMVRVFEEHCGSLTQYGMKHMRAFANVCNNGVSKELMEEASTAACGGYSEARYTVHPSILGYSA