Q67LC0 AF NFT

ATP-dependent zinc metalloprotease FtsH 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihau7d74db46hylbcjufcbja5ramzefnfhiyafmyeqjfvsujvjlpe/metadata.json
IPFS of structure file: 
bafybeia75cuk72ifzyyc7457co7x6zhn6vyypu7i23coerhjrjgqvkd7s4/AF-Q67LC0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #137247 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
137247
Accession (UniProt):
Q67LC0
Name::
ATP-dependent zinc metalloprotease FtsH 1
Experimental Method:
Predicted structure
Sequence source:
SYMBIOBACTERIUM THERMOPHILUM (STRAIN T / IAM 14863)

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 Q67LC0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q67LC0|FTSH1_SYMTH ATP-dependent zinc metalloprotease FtsH 1 OS=Symbiobacterium thermophilum (strain T / IAM 14863) OX=292459 GN=ftsH1 PE=3 SV=1 MRWWAGAALLLAALLFGRPAAAMEAQPVAYSEFIQDVQARRVAYARITGQRLEAAYRDGTVRVVTLPPGEARLPLVLMQYGARVEFVRPADPIAFRTLLRFIPPLLILGAILWFTRRTAGGSGGLLTMEQSPARLYRVGEASVTLQDVAGLDEVKAELQEVIDFLREPERYRAMGARIPRGILLSGPPGTGKTLLARALAGEAGVPFFSASGSDFVELFAGTGAARVRALFDRARKAAPCIVFIDEIDALARRRGVGAGGGTEEREQTINQLLVEMDGFDSGEGVIVVAATNRPDVLDPAVLRPGRFDRHLTVDPPDRKGREQILAVHAREKRLSQAVALAEVARLTPGFTGADLANLLNEAALLAVRAGEREIGWPQVAMALERVTSGGPPRRVRAAAADRVRAAYHEAGHALAGLALRGSDRLVRVTILPHGRGLGHTLFRDQDEERYLHTRRDAFDRLTELLAGRAAEALVLGEVSAGAADDLERATGLAREMVTRWGMDADIGPLRLEHAVEGEESLRRADGAMRALVAAAERAARALLEARRSGLERLAAALLERERLEGPEVEALLELTPGEKPYIIVANSRGDEGNQ