Q17XU9 AF NFT

UPF0102 protein Hac_0727

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib677mjbvsnk6rohaddsad4fmj3kmzspi2ugu5gqbfpnhw4isgowi/metadata.json
IPFS of structure file: 
bafybeigxjp5corwrwbudgq552ss7ebp3zty2ncr433obye6kkcssjhozne/AF-Q17XU9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x92138789186f6f4Bce7a1e4346cf9ae15fdFBBBf
First NFT owner address (bech32): 
genesis1jgfc0zgcdah5hnn6rep5dnu6u90alwalup54yw
Current NFT ID #521236 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
521236
Accession (UniProt):
Q17XU9
Name::
UPF0102 protein Hac_0727
Experimental Method:
Predicted structure
Sequence source:
Helicobacter acinonychis (strain Sheeba)

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 Q17XU9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q17XU9|Y727_HELAH UPF0102 protein Hac_0727 OS=Helicobacter acinonychis (strain Sheeba) OX=382638 GN=Hac_0727 PE=3 SV=1 MRFFNNKHKEKGLKAEEEACEFLKTLGFEIIERNFFSKFGEIDIIAFKKGVLHFIEVKSGENFDPIYAITPSKLQKIIQTIRYYLSQKDPNSDFCIDALIVKNGKFELLENITF