Q2K7S4 AF NFT

UPF0283 membrane protein RHE_CH02332

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicpnzig4a7xaqzipj3bbm5zoeemo6mwi7trde55nczaqnhkxv3gce/metadata.json
IPFS of structure file: 
bafybeidwplmlvg5mp4yj6pftdktquw7zm47lanaqewmymf4fw4as7bbmpq/AF-Q2K7S4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7F03E9F55aBE36b392B9aDB35ac1C267e9A2BC53
First NFT owner address (bech32): 
genesis10up7na26hcmt8y4e4ke44swzvl5690znl68nmp
Current NFT ID #511990 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
511990
Accession (UniProt):
Q2K7S4
Name::
UPF0283 membrane protein RHE_CH02332
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM ETLI (STRAIN CFN 42 / ATCC 51251)

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 Q2K7S4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2K7S4|Y2332_RHIEC UPF0283 membrane protein RHE_CH02332 OS=Rhizobium etli (strain CFN 42 / ATCC 51251) OX=347834 GN=RHE_CH02332 PE=3 SV=1 MSKPPSDLPRRPPAAFAYEDEAAEPGDNGRQQQGRRRPESFSEDIVLTPDEEDPFINPDRDPSAVAVATPRKRRTSFGKIALAAFGILLSLGIGLWTDRLIRDLFSRADWLGYAALGVLAIGILAVLALVIREAAGMMRLAAVQTIKAEAEAAILETRPAKARAVVSRLTTLLAANPETSKGRATLKATEGEVIDPPHLIALAERELLAPLDRKARALIVNASKRVSIVTAVSPRAIVDLLYVLYESVRLIRAMAELYGGRPGTLGMFRLLRDVLAHLAVTGSIAVGDSLVQQVLGHGLASKLSARLGEGVINGLMTARIGIAAMDLCRPLAFRAVKRPGIGDFIGDLTPSMSPRGNNP