Q31DD8 AF NFT

Biosynthetic arginine decarboxylase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiftjya6f3zjpixcequbq526swotms46743orhfi6txvu534luvhga/metadata.json
IPFS of structure file: 
bafybeidwan3z6t5tihave5tyzjiodadoqego3vh5asqsggibwhqz2cs47m/AF-Q31DD8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFA658c241899DD6080b98c8D8783B12085F2a9A6
First NFT owner address (bech32): 
genesis1lfjccfqcn8wkpq9e3jxc0qa3yzzl92dxw5t0lu
Current NFT ID #434158 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
434158
Accession (UniProt):
Q31DD8
Name::
Biosynthetic arginine decarboxylase
Experimental Method:
Predicted structure
Sequence source:
Prochlorococcus marinus (strain MIT 9312)

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 Q31DD8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q31DD8|SPEA_PROM9 Biosynthetic arginine decarboxylase OS=Prochlorococcus marinus (strain MIT 9312) OX=74546 GN=speA PE=3 SV=1 MTNFEPKKLKNIWTIEDSISTYNIDKWGDKYFSINSKGNISVTKDIKSENKIDLFKLVKELKSREINPPLIIRFNDILKDRINALHDSFFKAIKTYKYKNIYQGVFPVKCNQQKNVLEKIIEFGSQWNFGLEVGSKSELLIGLALLENQNSLLICNGYKDKKYIEIATLARKLGKNPIIVIEQRDEVKRIIQAVQELNATPLIGIRAKLSSKSSGRWGKSIGDNSKFGLSIPEIMLTIKELKEANLINEMKLLHFHIGSQISDIAVIKDALQEASQIYVELCKLGAPMQYIDVGGGLGIDFDGTKTSSNTSTNYSLQNYANDVIATIKDSCELNNIKHPIIISESGRAIISHCSVLIFNVLGTSHVSSKLQIFDKKNQQLIISNLLETFYELKKLKNKKINLSQIIELWNDAKKFKEDCLVAFRLGFLSLAERAYAEELTWACAKEISKNLNNDAINHPDLSEITETLASTYYANLSIFKSIPDSWAINQIFPIVPIHRHLEEPFCKGNFADLTCDSDGKLNNFIDDGKIKSLLNLHKPEEDKDYLIGIFMTGAYQEALGNLHNLFGSTNVVHIDINQDNSYKVKNIIKEDSKSEILQLLDYSSASLVESIRINTESAIDQKKLTIEEARKLMDQIEISLRKSSYLSE