Q0SNE2 AF NFT

Glycine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicn2wjiksppztkjdwgib5xghrh4vy4p434totf4movlfjig56v3xe/metadata.json
IPFS of structure file: 
bafybeicnn7wc5v4nqeebhc45xmdqwvsagquf22cddflq55sbqdzxgwdqsy/AF-Q0SNE2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9c9dcf6836cd7fFd66Fb8f047B683745f57039e3
First NFT owner address (bech32): 
genesis1njwu76pke4ll6ehm3uz8k6phgh6hqw0rarjhqq
Current NFT ID #447892 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
447892
Accession (UniProt):
Q0SNE2
Name::
Glycine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Borreliella afzelii (strain PKo)

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 Q0SNE2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0SNE2|SYG_BORAP Glycine--tRNA ligase OS=Borreliella afzelii (strain PKo) OX=390236 GN=glyQS PE=3 SV=1 MVRMEDIISLAKRKGFVFQSSEVYGGLSGVWDYGPLGIELKENIKREWWKSMVYLHENIVGLDSAIFMRSEIWKASGHIDGFSDSMVDCKDCKSRFRADFVDLSKNCPNCKVGNNFTSPRNFNLMFKTHIGVVEDSSSEIYLRPETAQGIFVNFRNVLDSSRLKIPFGIAQVGKAFRNEIVAKNFIFRTCEFEQMEMQFFVHPKQIDEWFCYWQQNRMNFFIETLKIRPDRLRLKAHNSTELAHYAKSAFDIEYEFPFGFQEIEGIHNRGNYDLTQHSKFSNNSKVFEYHDLLTKERYVPYVIETSAGLTRSVLMTLCDAYSEEELSDGDKRIVLRLHPKLAPYKIAIFPLVKKVELVEVARRIYVELCDDFHIFYDDSGTIGKRYRRQDEIGTPYCVTVDYNTIEDETVTVRERNNMTQKRIFINDLYSYIKTEILNYKEDVNK