A9N4N1 AF NFT

Biosynthetic arginine decarboxylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiglylso3w4moommjxai3ihw2t5mbkuhsci24u5qf6upu3xkm7a7xa/metadata.json
IPFS of structure file: 
bafybeidzxp53cihed5s7gaonomowm5v6mgfcij62jvlsaan7hnd5v7htpm/AF-A9N4N1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #434173 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
434173
Accession (UniProt):
A9N4N1
Name::
Biosynthetic arginine decarboxylase
Experimental Method:
Predicted structure
Sequence source:
Salmonella paratyphi B (strain ATCC BAA-1250 / SPB7)

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 A9N4N1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9N4N1|SPEA_SALPB Biosynthetic arginine decarboxylase OS=Salmonella paratyphi B (strain ATCC BAA-1250 / SPB7) OX=1016998 GN=speA PE=3 SV=1 MSSQEASKMLRTYNIAWWGNNYYDVNELGHISVCPDPDVPEARVDLAKLVKAREAQGQRLPALFCFPQILQHRLRSINAAFKRARESYGYNGDYFLVYPIKVNQHRRVIESLIHSGEPLGLEAGSKAELMAVLAHAGMTRSVIVCNGYKDREYIRLALIGEKMGHKVYLVIEKMSEIAIVLEEAERLNVVPRLGVRARLASQGSGKWQSSGGEKSKFGLAATQVLQLVETLRDAGRLDSLQLLHFHLGSQMANIRDIATGVRESARFYVELHKLGVNIQCFDVGGGLGVDYEGTRSQSDCSVNYGLNEYANNIIWAIGDACEEHGLPHPTVITESGRAVTAHHTVLVSNIIGVERNEYTDPTAPAEDAPRALQNLWETWQEMHKPGTRRSLREWLHDSQMDLHDIHIGYSSGAFSLQERAWAEQLYLSMCHEVQKQLDPQNRAHRPIIDELQERMADKMYVNFSLFQSMPDAWGIDQLFPVLPLEGLDQVPERRAVLLDITCDSDGAIDHYIDGDGIATTMPMPEYDPENPPMLGFFMVGAYQEILGNMHNLFGDTEAVDVFVFPDGSVEVELSDEGDTVADMLQYVQLDPKTLLTHFRDQVKQTDLDDALQQQFLEEFEAGLYGYTYLEDE