Q9ZCB1 AF NFT

Glycine--tRNA ligase beta subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicd2mgq6ebwz3qj6qwyqog5s3qaoq2mgctmulkaxmige2byqs5tya/metadata.json
IPFS of structure file: 
bafybeidwoyw3wlnnbvoa4fckkqxpdvi7odhlmk37xidcwialytxao3gxxe/AF-Q9ZCB1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2E70618e0388072122786Fd80c7EC6179fE5f698
First NFT owner address (bech32): 
genesis19ecxrrsr3qrjzgncdlvqclkxz707ta5chf6mw7
Current NFT ID #447749 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
447749
Accession (UniProt):
Q9ZCB1
Name::
Glycine--tRNA ligase beta subunit
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA PROWAZEKII (STRAIN MADRID E)

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 Q9ZCB1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZCB1|SYGB_RICPR Glycine--tRNA ligase beta subunit OS=Rickettsia prowazekii (strain Madrid E) OX=272947 GN=glyS PE=3 SV=2 MVSELLLELFSEEIPAFMQKNAEEGYLKIFTKIFEENEIFAKVQVFAGPRRITLHATHVPKVILPKEEEIKGPSIEAPEIAINGFCKAHNVSKLDLSTKLRNNKLYYFFVKKTKERETKEILPKIIIDAINKYSWTKSMFWGCYKIKWIRPLRNILCIFDGEILPLRFGHLSTNNITYGHRLTNNKKLEIIDFENYRNKLLENNVILERLKREEIIKVGLLELANAQNLNIKQDVCLIEEVTGLSEFPIVLLGKIPQKFLELPEEVIVSVMRTHQKYFCLFDKNGSFAPYFLFVINGRFVNTELIIQGNEKVLSARLADALYFYKNDIAKTLESRLDKLKSVIFHTKLGSLKEKVDRITDICRYIAPDNIDLIMAAKLCKSDLVSDMVGEFPDLQGIMGYYYAKHEELNEEVAKAIRDHYKPQGLNDNVPSGNATLLALADKLDSLVGLIIVGETPNGSGDPYALRRQALGIIRIIIENKLEINFINLISFSVSLYKVSSNSHLDSVISFFEERAKFYFKNDYDITLINAVLDLNLVDTKFKLDTLKEFLVQDVGKQLLNAYKRVSNIMGNQKITGLVDASLFSTQYEKELFEVIQKISQQIIVIIANKDYQKALNLLSSLLKPITSFFDNVLVNDSDPKIAQNRLSLLQNTCEVFDKVAKFCRL