A0Q556 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicrvuzwnamo7antuoxjtj5npv6r4exj4vryv43rkj3ydu4cscord4/metadata.json
IPFS of structure file: 
bafybeib6vl4bmetu2ulrnsxtyypx3iukv4yksdd6abmn7xzmv4oty2eb5u/AF-A0Q556-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA1c826E4fD9DbCFb69010558796CF746d7087DeA
First NFT owner address (bech32): 
genesis158yzde8ank70k6gpq4v8jm8hgmtssl024s3t50
Current NFT ID #450775 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450775
Accession (UniProt):
A0Q556
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
FRANCISELLA TULARENSIS SUBSP. NOVICIDA (STRAIN U112)

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 A0Q556 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0Q556|SYM_FRATN Methionine--tRNA ligase OS=Francisella tularensis subsp. novicida (strain U112) OX=401614 GN=metG PE=3 SV=2 MRKILVTNALPYANGDLHLGHMLGYIQSDIWVRFQKLQGNQCIFVCGSDTHGTPIMLKAKSLGITPEELVTKYSNRHLQDFTDFEINFDNYHSTHNSLNKEIVEDIYNKLNNKNLISKKAIAQAYDPEAKMFLPDRFVKGTCPKCKAEDQYGDSCEVCGATYDPTELINPRSVISGQSPIQKNSEHFFFDLPALEKNIKDWIESNTLLQPEVANKLAEWFEQGLQSWDISRDAPYFGFAIPGTNEQKFFYVWLDAPMGYIASFKDYCNRNEIDFDDFWGDNSESELYHFIGKDIIYFHALFWPAILSSTGYKTPTSVFANGFLTVNGKKMSKSRGTFIQARTYLDNLEPSYLRYYFASRLTSRIDDIDLNLEEFVTKSNSDIVGKVVNIASRCAGFIYKKFDATLSGEIFDPELESEFSKNHDAITQAFEKREFAHAVRLIMALADKANQFIDYHKPWQLAKEEGQEQKVHQVCSQGINMFKVLIAYLKPIIPSIVAEAERFLNIQFISWADAPKFLINHKIDKFKPLATRIEKEKVDKILEDTKKMLENEQAPQSKKEEPKLDITAECTFDDFMKVDLRIAKITEASHVEGADKLLKLILDLGGVTKQVFAGIKSAYKPEDLIGKHTVMVANLAPRKMKFGMSEGMVLAAGDGKGIYILEPHEGAQPGMRVK