Q54NF1 AF NFT

Vacuolar protein sorting-associated protein 28

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic4r75qbexbem34oiykpoc4udrhgqf5754zx2ltfkfbooanhh36mm/metadata.json
IPFS of structure file: 
bafybeiaum75ssazb6lftwkgmtk7ufq5436iwy2evjbyyoo7xw2pfgv4yc4/AF-Q54NF1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3d6707a69900E10a2dEC242C7C8B483353cebf36
First NFT owner address (bech32): 
genesis184ns0f5eqrss5t0vysk8ez6gxdfua0ekxq6ax0
Current NFT ID #497964 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
497964
Accession (UniProt):
Q54NF1
Name::
Vacuolar protein sorting-associated protein 28
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54NF1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54NF1|VPS28_DICDI Vacuolar protein sorting-associated protein 28 OS=Dictyostelium discoideum OX=44689 GN=vps28 PE=3 SV=1 MNINNSNNNFGEPPPPYSFNNSPLSSSPLGPPTLNNSNTNNNNNNNSTNNNNNNNNNNNNNNSNKQFENMINLKSQNSFQNIKEVKLFNNNIEREMYENLAELYSIIKVTEHLEKAYIRDDVSPKDYTTACSKLIAQFKSSQTLLKDQVSNVGQFMKDYDLNCKAAFDRLVIKGFPSTLEHNTNESSTDSAMAKNVAEAVQLFITTMDSIRLKLVSVDGIYPLLSDLMESLNKNQWLGPTFEGKEKIKNWISILNQMKATDELDDDQSRQLLFDLDNSYNIFYKAIKS