B9M6H6 AF NFT

Biosynthetic arginine decarboxylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibhog2war5t4m64ut4li5undetykokdkk3bpsentvullbcozccz7e/metadata.json
IPFS of structure file: 
bafybeiftenu554bgy7ubnquzcy7lblojfceyilu5rozgwnpba7eyzerz6m/AF-B9M6H6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #434137 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
434137
Accession (UniProt):
B9M6H6
Name::
Biosynthetic arginine decarboxylase
Experimental Method:
Predicted structure
Sequence source:
Geotalea daltonii (strain DSM 22248 / JCM 15807 / FRC-32)

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 B9M6H6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9M6H6|SPEA_GEODF Biosynthetic arginine decarboxylase OS=Geotalea daltonii (strain DSM 22248 / JCM 15807 / FRC-32) OX=316067 GN=speA PE=3 SV=1 MERWNINDSSKIYNLDNWGADLFSINKKGNVCVHPSPSSKSSIDLRVLVDDLIKRKIKPPILLRFMDVLQGRIASINRAFKSAISENDYPAKYQTFFPIKVNQQRQVVEAIASYGKRYNIGLEVGSKPELVAGISISSGNNLPIICNGYKDSEYIETVLYATAIGYDITLVIEKLFELEKVIELVKKTGIQPRLGIRVKLSSKGTGKWATSGGEDAKFGLRMSEIIAAIDLLEENGLLDRVKLIHFHIGSQITKIDKIKTALIEGARVYTELRKMGMGIEFVDIGGGLGVDYDGSKSSYFSSVNYSVEEYANDVIYQIKNICDDAGVECPNIISESGRATVAHYSVLVTNVLNTNTQRLTPDFEEELAAAEKLAPTVKKLVDIHKSIDRYSLREDYHDTVQLIQEAVSLFNLGYLTLNERAMAEWLYGKIIKKINSIVEKIKPIPEELQNFQLALRQTYFANFSLFQSIPDSWAIDQLFPIVPIQRLNQKPDVIASIADITCDSDGEITSFVGENGRTKFLPLHKIRKDEDYYIGFFLIGAYQEILGDMHNLFGDTNAVHITFNKKTGYMIDTVINGDACWESLKYVQYKGPEILKRVREHLEKGVAQRKVSIEESSHFIELLDRTLLGYTYLGE