Q083L6 AF NFT

Biosynthetic arginine decarboxylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid5ouispnepr5r6nhi4v7swiwamjdtx57xbufsak3pn6g7ib7le2y/metadata.json
IPFS of structure file: 
bafybeibzqqggheznqafizbvzp5rh2jryoxb66z3anurym7ye4lu6pg6mni/AF-Q083L6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #434183 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
434183
Accession (UniProt):
Q083L6
Name::
Biosynthetic arginine decarboxylase
Experimental Method:
Predicted structure
Sequence source:
SHEWANELLA FRIGIDIMARINA (STRAIN NCIMB 400)

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 Q083L6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q083L6|SPEA_SHEFN Biosynthetic arginine decarboxylase OS=Shewanella frigidimarina (strain NCIMB 400) OX=318167 GN=speA PE=3 SV=1 MSDWSIEDARSGYNVTHWSQGFYGIREDGEVTVSPNPQNPDHKVGLNELAKSMVEAGVSLPVLVRFPQILHHRVESLCEAFNDAIKKYDYQNDYLLVYPIKVNQQKTVVEEILASQKSKEVPQLGLEAGSKPELMAVLAMAQKASSVIVCNGYKDKEYIRLALIGEKLGHKVYIVLEKMSELKMVLIEAEKLGITPRLGLRVRLAFQGKGKWQASGGEKSKFGLSAAQVLKVIAELKSANMLDSLQLLHFHLGSQIANIRDIRQGVSEAGRFYCELRQLGASIDCFDVGGGLAVDYDGTRSQSNNSMNYGLNEYANNIVNVLTDLCNEYEQPMPRIISESGRHLTAHHAVLITDVIGTEAYQPENIQEPSEDAPQLLHNMWQSWLEISGRYDQRAIIEIYHDSQSDISEAHSLFAVGQLSLADRAWAEQANLRVCHEVKGLLSNNNRYHRPVIDELNEKLADKFFVNFSLFQSLPDAWGIDQVFPVLPLSGLDKAPERRAVMLDITCDSDGIVDQYVDGQGIETTLPVPAWSADSPYLIGFFMVGAYQEILGDMHNLFGDTNSAVVRIDERGLSQIESVLEGDTVADVLRYVNLDAVDFMRTYEELVNQHIVEEERASILEELQLGLKGYTYLEDF