Q54WZ2 AF NFT

Vacuolin-B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeietrc2r6cstlrfyky4d53om4rumo7mj4fzgceold4kfcifnhavdrm/metadata.json
IPFS of structure file: 
bafybeih3mgaadukg3bxiqenq6z4ah3tjur3rvjjj3qjy46omqvfbmblw2a/AF-Q54WZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbCEB7C33AF4075d7025591e4E6639A681c12E6aD
First NFT owner address (bech32): 
genesis1hn4hcva0gp6awqj4j8jwvcu6dqwp9e4dxguva6
Current NFT ID #494737 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
494737
Accession (UniProt):
Q54WZ2
Name::
Vacuolin-B
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 Q54WZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54WZ2|VACB_DICDI Vacuolin-B OS=Dictyostelium discoideum OX=44689 GN=vacB PE=1 SV=1 MIESSSFMKKTSSENSIGSRSNIHEASTFSSEHENGDQSLTISQIVIRSDFANETSERQSKIILERFNEGIKNTAFTDSPVLGRAQPRLDVSYFAMAHRNQIVELFDPRGQRFGTVYSADPTVEIRYLGSVAKTCRYFGSFGKHVLNVPSGHFAKAMTKNRPIIYGEGPHVIIDPTFEFDERYGFVNQQEPFINHSTINILRVPSGKVAKVWIGTQPLILESRREPYVFVDAQFKMVEDTSESGNNKYFKNSSATFMEHGSIKRIIPHTGEVAITYNNGILTIIPPPKDGKPVIIDSPTHNFEGFIQTSLQTCLFPSKETKQQAIKDNKNATSDEVNLKIFQTRDSLRVGVVLVVAFRIVDPEIALTKLGKEGIINHIENVSFADMGKAIQLSTLQEIMYFNDTKPSANSTNETVHTIQDRVKSHLARDLCEYGIELARLQIETMKVLDSEIAKKLAGQSVTSAEFTTKQATLVKEYDIKTTEARLKAETDNIALEQKGKAIIAEAQAKLESAQKQAQALLITAEAQKKVQEMQGELFTKYPILAEIELAKIKSEALKSATLYITPQDAGNFMNSPLVYMDRLLGHQQKLEK