Q5AG40 AF NFT

Vacuolar protein sorting-associated protein 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihsgmmts57wx3njsxsm65a7pnqc3sk4i5haopleqsgwei35vm3mj4/metadata.json
IPFS of structure file: 
bafybeic74p3wodmemuskxkbj3d76trqvfq6b4fzxkbix657nu5def3mavm/AF-Q5AG40-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #498045 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
498045
Accession (UniProt):
Q5AG40
Name::
Vacuolar protein sorting-associated protein 4
Experimental Method:
Predicted structure
Sequence source:
CANDIDA ALBICANS (STRAIN SC5314 / ATCC MYA-2876)

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 Q5AG40 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5AG40|VPS4_CANAL Vacuolar protein sorting-associated protein 4 OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=VPS4 PE=2 SV=1 MSGASDFLSKGIDLVQKAIDADTATRYEEAYKLYYNGLDYLMLAIKYEKNPKSKELVKSKFTEYLTRAEQLKDHLEKQAQNKSTAESSVNGSTKAKKSNGDGNGSGDDNDDADTKKLRGALAGAILSEKPNVKWSDIAGLDAAKEALKEAVILPVKFPQLFVGNRKPTSGILLYGPPGTGKSYLAKAVATEANSTFFSVSSSDLVSKWMGESERLVKQLFTMARENKPSIIFIDEVDALCGPRGEGESEASRRIKTELLVQMNGVGNDSQGVLVLGATNIPWQLDAAVRRRFERRIYIALPDVEARTRMFEINIGDVPCECTPHDYRTLAEMTDGYSGHDVAVVVRDALMQPIRKIQQATHFKPVIDETDGKEKLTPCSPGDEGAREMNWMDLATDELKEPPLTIKDFIKAIKNNRPTVNEADIAQHVKFTEDFGQEGN