Q75W17 AF NFT

Furcatin hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibti5r37psqpuvfmm7hg4hali6wisig3uimactczc625emftcpmsm/metadata.json
IPFS of structure file: 
bafybeidyzbimcenrf3zbzipm4e3lbbfcxgzumls6g43zysoagpnsmm5gki/AF-Q75W17-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #138313 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
138313
Accession (UniProt):
Q75W17
Name::
Furcatin hydrolase
Experimental Method:
Predicted structure
Sequence source:
Viburnum furcatum

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 Q75W17 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q75W17|FURH_VIBFR Furcatin hydrolase OS=Viburnum furcatum OX=237940 PE=1 SV=1 MATITTLASSVPLFRPYSFPGGSSRKPKKDNLSIKPPATSSLKVNAKLASADDTSSNFNKDNWLASADELSRSFPPGFLFGGGSASYQYEGAVKEGGRTPSIWDTFAHEFPDKIADGSNGDVAVDFYHRYKDDVKLMKKIGVNGFRFSISWTRILPSGKLCGGVNKEGVAFYNSLINELLANGIEPFVTIFHWDLPQGLENEYDGFLSGQIVNDYRDYAEVCFQEFGDRVKFWTTLNEPWTFCYNGYVNGSFAPGRCSTCTAGNSGTEPYLVAHNLLLSHAAVAQLYKNKYQASQKGQIGIVLVCFWMVPYSDCPYDCEAAQRALDFMLGWFLHPLTYGDYPESMRHLVGERLPQFTEMQAMMMKGSIDFLGLNYYTSIYAANNESPNPHDISYTTDSRVNLFQKRDGILIGPATGTPAFCFCPEGIRDLLVYTKEKYNNPIIYITECGLAEANINTVDQGVKDVERVEFYYEHLKFLRSAIKKGVNVKGFFTWSLLDDWEWNSGFNVRFGIVYIDHEDGLKRYLKYSALWFKKLFGK