Q3A3B8 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:

bafybeigvld4xzrvxk53wzsfpps454k36ozaaev6bnd7j4szdkp7ig7buui/metadata.json

IPFS of structure file:

bafybeihftdsw3lowhx75umm3nsjnoir6e2y2irs2avkhq4yqqyfpc64eie/AF-Q3A3B8-F1-model_v2.pdb

First NFT owner address (eip-55):

0x520ebf7B7e0BDeeC93A70c71B12D9C1a5741D264

First NFT owner address (bech32):

genesis12g8t77m7p00weya8p3cmztvurft5r5nymux5g5

Current NFT ID #21686 owner (web3):

0x520ebf7B7e0BDeeC93A70c71B12D9C1a5741D264

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
21686
Accession (UniProt):
Q3A3B8
Name::
N-acetyl-gamma-glutamyl-phosphate reductase
Experimental Method:
Predicted structure
Sequence source:
Syntrophotalea carbinolica (strain DSM 2380 / NBRC 103641 / GraBd1)

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 Q3A3B8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3A3B8|ARGC_SYNC1 N-acetyl-gamma-glutamyl-phosphate reductase OS=Syntrophotalea carbinolica (strain DSM 2380 / NBRC 103641 / GraBd1) OX=338963 GN=argC PE=3 SV=1 MLKVAIVGASGYTGVELIRLLLNHPQVEITCVTSRQNAGASIDSVFPSLAGRIDLTFDPVDVDTIIRKSDFVFTALPHKAAMAVVPAFLHAGKKVVDLSADYRLHDVDVYEAWYDKHTSPELLDEAVYGLPELYRQQVVDARLVANPGCYPTSIALGLAPLLENNLIDAASLIIDSKSGTSGAGRSAKVGSLYCEVNEGFKAYGVASHRHTPEIEQTLGQLAGKPVQVSFTPHLLPVNRGILSTCYASLVQPMDTAQLQQLYAQRYAGEIFVRVHPQGELPNILHVRGSNYCNIGVVSDKRTGRVIIVSVIDNLLKGAASQAVQNMNLMQAWSEDSGLSDLPLYP

Q3A3B8 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q3A3B8 research and analysis (ICN3D with VR)

FASTA sequences

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