A0KFQ0 AF NFT

UPF0178 protein AHA_0543

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidjlpx54ta2hauuwbdhmfpsrjdphyw323xd4vfbclkmgzea7fviae/metadata.json
IPFS of structure file: 
bafybeibdtyqm3uvhduvspkaimhjehtkqyk4shaslkzy33zua5cf3wvgjlu/AF-A0KFQ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf87a97E0A4bB354D834857B14296240B167cbe70
First NFT owner address (bech32): 
genesis1lpaf0c9yhv65mq6g27c5993ypvt8e0nsz8y8ua
Current NFT ID #519394 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
519394
Accession (UniProt):
A0KFQ0
Name::
UPF0178 protein AHA_0543
Experimental Method:
Predicted structure
Sequence source:
Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049)

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 A0KFQ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0KFQ0|Y543_AERHH UPF0178 protein AHA_0543 OS=Aeromonas hydrophila subsp. hydrophila (strain ATCC 7966 / DSM 30187 / BCRC 13018 / CCUG 14551 / JCM 1027 / KCTC 2358 / NCIMB 9240 / NCTC 8049) OX=380703 GN=AHA_0543 PE=3 SV=1 MPIWVDADACPIPVKEILYRAAHRAQVVTTLVANQGLRVPPSPFIKTQQVEKGFDVADHVIAQQVKPGDLVITGDIPLASWVIDAGGEALNPRGEIYTRETIKARLGMRNFMEELRSAGVQTGGPAPLNAADKQRFANALDKWLIRGKLS