Q57K30 AF NFT

Biosynthetic arginine decarboxylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiegokx7uelp2ijd7lp4mhifl2zdagjyrt3t3ylfnptnd3yjkis3qu/metadata.json
IPFS of structure file: 
bafybeihdvrpmfvwusspuegpsg5he73ahfmqvdgmbndkxijmmjzgk6zumaa/AF-Q57K30-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaac963d23891F13f0fCc3A4cb216262350cBFF32
First NFT owner address (bech32): 
genesis14tyk853cj8cn7r7v8fxty93xydgvhlej3yztt3
Current NFT ID #434169 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
434169
Accession (UniProt):
Q57K30
Name::
Biosynthetic arginine decarboxylase
Experimental Method:
Predicted structure
Sequence source:
Salmonella choleraesuis (strain SC-B67)

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 Q57K30 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q57K30|SPEA_SALCH Biosynthetic arginine decarboxylase OS=Salmonella choleraesuis (strain SC-B67) OX=321314 GN=speA PE=3 SV=1 MSSQEASKMLRTYNIAWWGNNYYDVNELGHISVCPDPDVPEARVDLAKLVKAREAQGQRLPALFCFPQILQHRLRSINAAFKRARESYGYNGDYFLVYPIKVNQHRRVIESLIHSGEPLGLEAGSKAELMAVLAHAGMTRSVIVCNGYKDREYIRLALIGEKMGHKVYLVIEKMSEIAIVLEEAERLNVVPRLGVRARLASQGSGKWQSSGGEKSKFGLAATQVLQLVETLRDAGRLDSLQLLHFHLGSQMANIRDIATGVRESARFYVELHKLGVNIQCFDVGGGLGVDYEGTRSQSDCSVNYGLNEYANNIIWAIGDACEEHGLPHPTVITESGRAVTAHHTVLVSNIIGVERNEYTDPTAPAEDAPRALQNLWETWQEMHKPGTRRSLREWLHDSQMDLHDIHIGYSSGAFSLQERAWAEQLYLSMCHEVQKQLDPQNRAHRPIIDELQERMADKMYVNFSLFQSMPDAWGIDQLFPVLPLEGLDQVPERRAVLLDITCDSDGAIDHYIDGDGIATTMPMPEYDPENPPMLGFFMVGAYQEILGNMHNLFGDTEAVDVFVFPDGSVEVELSDEGDTVADMLQYVQLDPKTLLTHFRDQVKQTDLDDALQQQFLEEFEAGLYGYTYLEDE