Q9KF78 AF NFT

Putative GMP synthase [glutamine-hydrolyzing]

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifdk4e6tlncrzbnicvjxwxkgibvavpuvtrsp32e2n4npvcb6rc52m/metadata.json
IPFS of structure file: 
bafybeifyzoxn2ylla2l7y6fszwtisktmnr57lvcmlxmpowjv5afe5pkyie/AF-Q9KF78-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9F605311B7e26e76340423EfAfbE5e2EFc7A0b7C
First NFT owner address (bech32): 
genesis1nas9xydhufh8vdqyy0h6l0j79m785zmurgry0u
Current NFT ID #161247 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
161247
Accession (UniProt):
Q9KF78
Name::
Putative GMP synthase [glutamine-hydrolyzing]
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125)

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 Q9KF78 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KF78|GUAA_ALKHC Putative GMP synthase [glutamine-hydrolyzing] OS=Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125) OX=272558 GN=guaA PE=3 SV=1 MEQLSEEMIVVLDFGGQYNQLITRRIRDLGVYSELHPNTITAEQLKEMKPKGIIFSGGPNSAYAEGAPKCDPAIFDLGVPILGICYGMQLMTQHFGGKVDAAEHREYGKATITVENQSKLFQGLPVEQTVWMSHGDLIVAPPEGFVVDAQNPSCPVAAMSDEARNYYGVQFQPEVRHSQFGDDMLKNFAFAVCGCEGNWSMENFIELEMEKIREQVGDKQVLCALSGGVDSSVVAVLIHKAIGDQLTCMFIDHGLLRKGEADSVMKTFSEGFNMNVIKIDAKDRFLSKLEGVSDPEQKRKIIGNEFIYVFEEEASKLKDMDFLAQGTLYTDIIESGTATAQTIKSHHNVGGLPEDMRFELIEPLNTLFKDEVRKLGTELGIPDEVVWRQPFPGPGLGIRVLGEITEEKLEIVRESDAILREEIKKAGLDREIWQYFTALPNMRSVGVMGDARTYDYTVGIRAVTSIDGMTSDWARIPWDVLEIISTRIVNEVKHVNRVVYDITSKPPATIEWE