Q1CJ34 AF NFT

UPF0259 membrane protein YPN_1667

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicurhxmsg7srfcbwpvreysl2i2bw2d6vdvhvjikzcw4syco4xyhdq/metadata.json
IPFS of structure file: 
bafybeia6pitl4rvjngam4cdlh6k3bmrlkhyjv75egpqdzz7z3jzo7qceii/AF-Q1CJ34-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0E31920A67aafd5e006BeA2a197680e7C7330186
First NFT owner address (bech32): 
genesis1pcceyzn84t74uqrtag4pja5qulrnxqvxq3f4zu
Current NFT ID #508610 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
508610
Accession (UniProt):
Q1CJ34
Name::
UPF0259 membrane protein YPN_1667
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Nepal516)

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 Q1CJ34 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CJ34|Y1667_YERPN UPF0259 membrane protein YPN_1667 OS=Yersinia pestis bv. Antiqua (strain Nepal516) OX=377628 GN=YPN_1667 PE=3 SV=1 MPITANTLYRDSFNFLRNQIAAILLLALLTAFITVMLNQTFMPASEQLSILSIPENDITSSGNLSISEIVSQMTPEQQMVLLRVSAVATFSALVGNVLLVGGLLTLIAMVSQGRRVSALQAIGLSLPILPRLLVLMFISTLVIQLGLTFFIVPGVAIAIALSLSPIIVTNERMGIFAAMKASAQLAFANVRLIVPAMMLWIAVKLLLLFLISRFTVLPPTIATIVLSTLSNLASALLLVYLFRLYMLLRPVSLDKQ