Q57NR9 AF NFT

UPF0263 protein YciU

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihuwmi33xgncyit3vxzbduiu6iuuxwwak5gtblmj5rnhqxsbwukgu/metadata.json
IPFS of structure file: 
bafybeiesd3bnozy6up2mmoqponfo6mpivoqouciw6zvmqt56vprpla2u64/AF-Q57NR9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6DAA77C4263E74E745cA9c4D8E291e57e8991Cf5
First NFT owner address (bech32): 
genesis1dk4803px8e6ww3w2n3xcu2g72l5fj884walv9j
Current NFT ID #527700 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
527700
Accession (UniProt):
Q57NR9
Name::
UPF0263 protein YciU
Experimental Method:
Predicted structure
Sequence source:
Salmonella choleraesuis (strain SC-B67)

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 Q57NR9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q57NR9|YCIU_SALCH UPF0263 protein YciU OS=Salmonella choleraesuis (strain SC-B67) OX=321314 GN=yciU PE=3 SV=1 MEMDLNNRLTEDETLEQAYDIFLELAADNLDPADIILFNLQFEERGGAELFDPAEDWQEHVDFDLNPDFFAEVVIGLADTEDGEINDIFARVLLCREKDHKLCHILWRE