P43865 AF NFT

Putative Lon protease homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidh3sebs7g2xdkq7xb547gxsx7nfxw5knvcz3mnjx5he35jx5lu4m/metadata.json
IPFS of structure file: 
bafybeidxsmjmgnw2gjd373sqchtbhqxynxptqepcbczlkayttyawrl252q/AF-P43865-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8f8EdB0f2CB8B755CA644841812fd6844544e924
First NFT owner address (bech32): 
genesis1378dkrevhzm4tjnyfpqczt7ks3z5f6fyp6cnkc
Current NFT ID #216659 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
216659
Accession (UniProt):
P43865
Name::
Putative Lon protease homolog
Experimental Method:
Predicted structure
Sequence source:
HAEMOPHILUS INFLUENZAE (STRAIN ATCC 51907 / DSM 11121 / KW20 / RD)

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 P43865 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P43865|LONH_HAEIN Putative Lon protease homolog OS=Haemophilus influenzae (strain ATCC 51907 / DSM 11121 / KW20 / Rd) OX=71421 GN=HI_1324 PE=3 SV=1 MVNFSRKRPAVSSLFSQQQAIEQSLNWQALQPDLVIQDFPLEPVNFWALQPNATQGIDLFLRHPTRSLLMMKVGEPVEYAELLQNFISQNHHKVRSIFGVNYVIEQGDSFSFPHVYTEPAKSLDDNFASQGEALSALYCDQFQLFGSFRIHPRSQDIQLVPGLVHKANGGVLILSAATLLSQFDLWGRLKQILQTQTFDWYSAHPFKNLPCDIPSYALNLKVIVLGNRTELATLAELEENLYSFADYAEIESYISVAEVEEQKTWAGYVQQMAQEQNIELDFLALNKLYQLLVRESENRFLINASPLKLKEILQDASTFTEKTALSAVDFEGIFQQKLAQYGFLKEQTYADILNEQVYVETQGEIVGQINGLSVIEYPGTPVCFGEPSRISCIVQFGDGEVIDVERKNELAGNIHGKGMMIAQACLSNILDLPSQLPFSASLVFEQSYGEIDGDSASLAIFCVLVSALADLPLPQHIAITGSIDQFGLVHSVGGVNDKIEGFFTICQRRGLTGKQGVIIPMTTIQQLSLSDDVKSAVKNGEFFIYPVEDIYQACELLFGRDLLDENKDYTEKTESLSRLIQRRIEGRADSERKSFWHFFRS