Q7MP62 AF NFT

Glutamine--fructose-6-phosphate aminotransferase [isomerizing]

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib4s3fgjffll67fs7s7q5gozu5chlqqfhifomg4mjyxph7nmjffki/metadata.json
IPFS of structure file: 
bafybeihr4guxhdww4aucfn3d3swqh2gv34ywjks7mqedxjp2cyhlswce44/AF-Q7MP62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x758850a3D7646b829972912E8A512268C74ceb66
First NFT owner address (bech32): 
genesis1wky9pg7hv34c9xtjjyhg55fzdrr5e6mxetvqgj
Current NFT ID #150162 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
150162
Accession (UniProt):
Q7MP62
Name::
Glutamine--fructose-6-phosphate aminotransferase [isomerizing]
Experimental Method:
Predicted structure
Sequence source:
Vibrio vulnificus (strain YJ016)

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 Q7MP62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7MP62|GLMS_VIBVY Glutamine--fructose-6-phosphate aminotransferase [isomerizing] OS=Vibrio vulnificus (strain YJ016) OX=196600 GN=glmS PE=3 SV=3 MCGIVGAVAQRDVAEILVEGLRRLEYRGYDSAGVAVVDSQSNLTRIRRLGKVQELADAVDQAEVVGGTGIAHTRWATHGEPSEINAHPHQSGDISVVHNGIIENHETLRELLQSRGYVFESQTDTEVIAHLVEWELRTAASLLEAVQKTVKQLEGAYGTVVLDRNDPSRIVVARSGSPIVIGFGVGENFLASDQLALLNVTRRFMYLEEGDVAEITRREVAVYDALGERVEREIAESNAEHDAGDKGQYRHFMQKEIYEQPTALINTMEGRITADSVVTEAIGVNAAEILSKVEHVQIVACGTSYNAGMTARYWFEDIAGVSCDVEIASEFRYRKFVTRPNSLLITLSQSGETADTLAALRLAKEKGYMAAMTICNVAGSSLVRESDFAFMTRAGVEIGVASTKAFTTQLAALLMLVTALGKQQGRISKEKEKEIVEALHALPKQINAALSFEKDIEALATDFADKHHTLFLGRGEFYPIAMEASLKLKEISYIHAEAYAAGELKHGPLALIDADMPVVVVAPSNDLLEKLKSNVEEVRARGGLLYVFADADAGFEGDETMKIITMPHVSEITAAIYYTIPMQLLSYYVALIKGTDVDQPRNLAKAVTVE