Q1MRI7 AF NFT

Acetylglutamate kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifncyqlx3ertrca3uoogimraof33ekg5u5q22zlbimkquzrsjw5jq/metadata.json
IPFS of structure file: 
bafybeigv2uukclpvxqpcqxhdstx5xowddv7cicpcmj4n5y3qaqr2afvaqu/AF-Q1MRI7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2592363eA69f3b9d01e46458511B9cd458Bd4425
First NFT owner address (bech32): 
genesis1ykfrv04xnuae6q0yv3v9zxuu63vt63p9wfg0y4
Current NFT ID #21024 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
21024
Accession (UniProt):
Q1MRI7
Name::
Acetylglutamate kinase
Experimental Method:
Predicted structure
Sequence source:
Lawsonia intracellularis (strain PHE/MN1-00)

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 Q1MRI7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1MRI7|ARGB_LAWIP Acetylglutamate kinase OS=Lawsonia intracellularis (strain PHE/MN1-00) OX=363253 GN=argB PE=3 SV=1 MDMEKARLRSHMLIESLPYLQKFQGKVIVIKYGGHAMKDTLLKQSFAQSIALLNLVGIHPIVVHGGGPQIGNMLSRLNIQSEFREGLRVTDKATMDVVEMVLAGSVNKEIVNQVNQAGAKAVGLSGKDGAFILAEKNDLILTKENQPPEIINLGNVGRVVHIETSLLYTLIEKGFIPIIAPVGTDNKQTYNINADEVAGAIAGALKATRLLLLTDVEGILDLNKKLIQSIYLEDTPKLFSDGIVFGGMIPKLQCCIEAIEQGVEKVVILDGRLEHSILLELFTDQGVGTEIVKKPV