Q8Z9S8 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic2ton47xzdlign2glu4aifiiyvikrj2jvtimfxxhknzf4x3c3fwa/metadata.json
IPFS of structure file: 
bafybeightlaclseastyz3js4suijb5xzqspwnzxwwo52vnvsnwvuq7ui4a/AF-Q8Z9S8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2812091d14c5E88aE48Dfd1ab07A3FcA007DcbB5
First NFT owner address (bech32): 
genesis19qfqj8g5ch5g4eydl5dtq73legq8mja4a5q32k
Current NFT ID #150168 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
150168
Accession (UniProt):
Q8Z9S8
Name::
Glutamine--fructose-6-phosphate aminotransferase [isomerizing]
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 Q8Z9S8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8Z9S8|GLMS_YERPE Glutamine--fructose-6-phosphate aminotransferase [isomerizing] OS=Yersinia pestis OX=632 GN=glmS PE=3 SV=3 MCGIVGAVAQRDIAEILIEGLRRLEYRGYDSAGLAVVDSEGHLTRLRRVGKVHALSDAAEKQDLHGGTGIAHTRWATHGEPSEANAHPHVSDYISVVHNGIIENHEPLRELLISRGYRFSSETDTEVIAHLVHWEQQQGGSLLEVVKRVIPQLRGAYGTVVMDSRDPSRLIAARSGSPLVIGCGVGENFIASDQLALLPVTRRFIFLEEGDVVEVTRRSISIFDKQGNAIERPEIESQVQYDAGDKGIYRHYMQKEIYEQPMAIKNTLEGRLSHGMIDLSELGPKADALLAEVQHIQIIACGTSYNSGMVSRYWFESLAGVPCDVEIASEFRYRKSAVRPNSLLITLSQSGETADTLAALRLSKELGYLGSLAICNVAGSSLVRESDLALMTKAGTEIGVASTKAFTTQLTVLLMLVGRIGKLKGADASLEHDIVHALQALPARIEQMLSLDKTIEALAEGFSDKHHALFLGRGDQYPIAMEGALKLKEISYIHAEAYAAGELKHGPLALIDADMPVIVVAPNNELLEKLKSNIEEVRARGGLLYVFADQDAGFTDSEGMKIIQLPHVEEIIAPIFYTVPLQLLSYHVALIKGTDVDQPRNLAKSVTVE