Q5ZTX7 AF NFT

Arginine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaia2dgeoecc5xkb6kal4cnffnimkenti5f6binf3gpwjn63nx2dq/metadata.json
IPFS of structure file: 
bafybeif3pu36emlc6zpcwkydgkssubpc3u4j7t7aiv6qht3oorvax2wlbe/AF-Q5ZTX7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x777B8f47014a4dE872e1b32733B9fD3c15840A7A
First NFT owner address (bech32): 
genesis1waac73cpffx7suhpkvnn8w0a8s2cgzn68u2cv0
Current NFT ID #452777 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
452777
Accession (UniProt):
Q5ZTX7
Name::
Arginine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
LEGIONELLA PNEUMOPHILA SUBSP. PNEUMOPHILA (STRAIN PHILADELPHIA 1 / ATCC 33152 / DSM 7513)

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 Q5ZTX7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5ZTX7|SYR_LEGPH Arginine--tRNA ligase OS=Legionella pneumophila subsp. pneumophila (strain Philadelphia 1 / ATCC 33152 / DSM 7513) OX=272624 GN=argS PE=3 SV=1 MRSMKAIIEYLLKQALINLQQSGEMPIDLEIEIKVENAKDPAHGDYATNLALVLAKPCRQAPKVLAERLVAVIPVDPSVEKIEIAGAGFINFFMRSTARSLIISEILNKGKEFGRGNLGQSQKVLIEFVSANPTGPLHVGHGRGAAFGATLGNVLKAAGYDVTLEYYVNDAGRQMNILAVSVWLRYLELAGEPIVFPANGYKGQYVYEIAQEIWSEQGNQFVHPWISVVENLPADEPEGGDKETYIDAIIARAQSLLGKDGFANFHQHALKTVLDDIKDDLQAFGVRFDSWFSEQSLFEDGSIEKGIQALKDRGHTYEREGALWFRATDFGDEKDRVLVRANGQTTYFASDVAYHWNKYDRGFDRVIDIFGADHHGYVTRIKTAVKALGHDESALDVILVQFAILYRGGDRVQMSTRSGSFVTLRELREEVGNDAARYFYVARKPEQHMDFDLDLAKSESSDNPVYYIQYAHARICSVLRQLKERGLKWDKDMGLKNLDLLEQQHEATLISLIARYPEVIQSAAASCEPHQLAYYLRELANGLHSYYNAIQLLCEQEQLRCARLCLLESVRQVLNNGLAILGVSAPESM