Q2RTG6 AF NFT

Arginine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihjhjckzfh3iayvss5rxahnd3qzwcdaebke4rpnnvjsxxgmgrqqna/metadata.json
IPFS of structure file: 
bafybeib36ieg5jxszxkirljy6gxzli4ozpdfolgbrxw5h5eocd5y7ng7km/AF-Q2RTG6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x083ae04AA11D16e89dd56D68bAFB195324f2F280
First NFT owner address (bech32): 
genesis1pqawqj4pr5tw38w4d45t47ce2vj09u5qwy6pgj
Current NFT ID #452972 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
452972
Accession (UniProt):
Q2RTG6
Name::
Arginine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
RHODOSPIRILLUM RUBRUM (STRAIN ATCC 11170 / ATH 1.1.1 / DSM 467 / LMG 4362 / NCIMB 8255 / S1)

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 Q2RTG6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2RTG6|SYR_RHORT Arginine--tRNA ligase OS=Rhodospirillum rubrum (strain ATCC 11170 / ATH 1.1.1 / DSM 467 / LMG 4362 / NCIMB 8255 / S1) OX=269796 GN=argS PE=3 SV=1 MNVFHDIKETVLAQVAALQAEGRLPEGLETGRVAVEPPREAAHGDMATNAAMVLAKPAGLAPRAVAEMLVEKLVGVDGIVAAETAGPGFINLRLDPKIWRKTLKTVLTLGTAFGASTMGRGAAVNVEFVSANPTGPMHVGHGRGAVFGDALAALLVKAGWAVTREYYVNDAGAQVDSLARALYARYRVAVGDLDEAAFAAMLAAREIEYGGDYLVPVAADIAQADGTRWTTVAESDWLPAFRAIGIERMLALIKEDLAALGVVHDVFTSEQALVRAGRVDEMMTDLESRDLVYVGTLEPPKGKTPDDWEPRPQTLFRATGFGDEVDRPLKKSDGSWTYFASDIAYHHDKFKRGFLGMINVLGADHGGYVKRLKAAVKAVSNGEAELDVKLVQLVKLLDNGEPVKMSKRAGTFITLREVVDEVGKDVVRFIMLTRKNDAALDFDYARVTEKTRDNPVFYVQYAHARACSVARHAAQTFPGRDLSAAALAATADLDLLDADEEMAMVRLLAGWPRLVESAAEAHEPHRVAFYLGEVAAAFHGLWNRGNDNAELRFLLPTDEARSLARLALVQAVASVIASGLEIFGVEPVKEMR