Q9KVW7 AF NFT

Glycine--tRNA ligase alpha subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig5fofxgjhx4zqsdlywaqs32ke6bkgp3qhs4kyolmn7k4flguw4le/metadata.json
IPFS of structure file: 
bafybeifbhfl3ylz2dmn7725zm22erd2lgoy6hateovpfskxqgsczzb4uhu/AF-Q9KVW7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #447497 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
447497
Accession (UniProt):
Q9KVW7
Name::
Glycine--tRNA ligase alpha subunit
Experimental Method:
Predicted structure
Sequence source:
VIBRIO CHOLERAE SEROTYPE O1 (STRAIN ATCC 39315 / EL TOR INABA N16961)

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 Q9KVW7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KVW7|SYGA_VIBCH Glycine--tRNA ligase alpha subunit OS=Vibrio cholerae serotype O1 (strain ATCC 39315 / El Tor Inaba N16961) OX=243277 GN=glyQ PE=3 SV=2 MQKYDIKTFQGMILALQDYWAQQGCTIVQPLDMEVGAGTSHPMTCLRALGPEPIATAYVQPSRRPTDGRYGENPNRLQHYYQFQVIIKPSPDNIQELYLGSLRVLGVDPCVHDIRFVEDNWENPTLGAWGLGWEVWLNGMEVTQFTYFQQVGGLECKPVTGEITYGIERLAMYIQGVDSVYDLVWTDGPLGKVTYGDIFHQNEVEQSTYNFEHADVDFLFTYFDQCEKECKYLLELEKPLPLPAYERILKAAHAFNLLDARKAISVTERQRYILRIRNLTKSVAEAYYASREALGFPMCKKSEQK