B5EFN1 N-acetyl-gamma-glutamyl-phosphate reductase MolNFT, Molecular NFT on GenesisL1

N-acetyl-gamma-glutamyl-phosphate reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidujpvsz6xra3w6qov4ffnoopjo6oh2qlpwq7c6qoxhfkbxjbdyda/metadata.json

IPFS of structure file:

bafybeialxikgqvtjdrwpcwlxhrvyv4xazidnsjoanzk2m5umk2g5f2onlm/AF-B5EFN1-F1-model_v2.pdb

First NFT owner address (eip-55):

0x9188600a0FCa2914254C94299b1bd9721Bc4D500

First NFT owner address (bech32):

genesis1jxyxqzs0eg53gf2vjs5ekx7ewgduf4gquehckf

Current NFT ID #21441 owner (web3):

0x9188600a0FCa2914254C94299b1bd9721Bc4D500

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
21441
Accession (UniProt):
B5EFN1
Name::
N-acetyl-gamma-glutamyl-phosphate reductase
Experimental Method:
Predicted structure
Sequence source:
Citrifermentans bemidjiense (strain ATCC BAA-1014 / DSM 16622 / JCM 12645 / Bem)

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 B5EFN1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5EFN1|ARGC_CITBB N-acetyl-gamma-glutamyl-phosphate reductase OS=Citrifermentans bemidjiense (strain ATCC BAA-1014 / DSM 16622 / JCM 12645 / Bem) OX=404380 GN=argC PE=3 SV=1 MIKVAIVGASGYTGVELIRILHSHPEVAVTCVTSEQSAGRPVSSVFPSLRGRCDIVLENLEPVGIAEKVDIVFTALPHKAAMEVVPTFMKMGKDVIDLSADYRIHDADTYGKWYEPHLNPELLPEAVYGIPELRRAEIAEASLIANPGCYPTSVILGLAPLLKGKVIDPRSIIVDAASGTSGAGRGAKVDNLYCEVNEGFRAYGVGGVHRHIPEIEQELSLLAGNPLNITFTPHLVPMDRGILSTIYSQPTGSVKAADLIALYQAFYDGEPFVRVLPEGVLPSTAHVRGSNFCDIGITVDQRTGRVIVISAIDNLVKGASGQAVQNMNLMCGLPETLGLDLLPVFP

B5EFN1 AF NFT

MOLNFT AF v1_w

NFT data

MOLNFT B5EFN1 research and analysis (ICN3D with VR)

FASTA sequences

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