B5XP67 AF NFT

UPF0299 membrane protein KPK_1586

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieukhw6xb4nkowtdfh4q3r53jofsnckah5airi77wfjrq3ut35poe/metadata.json
IPFS of structure file: 
bafybeibsunbknis764v3pble6h542y4rbthctemrip6byg5ih44ycczc5m/AF-B5XP67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1BD17652d543Cd8665B16453ee1d3C453fef0ED4
First NFT owner address (bech32): 
genesis1r0ghv5k4g0xcved3v3f7u8fug5l77rk59x3wal
Current NFT ID #508041 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
508041
Accession (UniProt):
B5XP67
Name::
UPF0299 membrane protein KPK_1586
Experimental Method:
Predicted structure
Sequence source:
Klebsiella pneumoniae (strain 342)

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 B5XP67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5XP67|Y1586_KLEP3 UPF0299 membrane protein KPK_1586 OS=Klebsiella pneumoniae (strain 342) OX=507522 GN=KPK_1586 PE=3 SV=1 MSKSLTIIWQYLRAFVLIYACLYAGIFIAGLLPITIPGSIIGMLILFVLLALQIMPPQWVNPGCNILIRYMALLFVPIGVGVMQYWDLLRAQLGPVVISCAISTLVVFVVVSWSSHLVHGERKVIGQKEKKNDA