O26687 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiflzjwjahsb36exo7ejiej2i4qmfzwicqxnlhfnvympm34uvwtmbq/metadata.json
IPFS of structure file: 
bafybeih5a3554tljjevsj4d22i32cforcy2yt7n5awrsiwpn23hu7s6woy/AF-O26687-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdCa3E8477B678EB93Ed98933F2784Ed8bf41Dae5
First NFT owner address (bech32): 
genesis1mj37s3mmv78tj0ke3yely7zwmzl5rkh975za0d
Current NFT ID #450853 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450853
Accession (UniProt):
O26687
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
METHANOTHERMOBACTER THERMAUTOTROPHICUS (STRAIN ATCC 29096 / DSM 1053 / JCM 10044 / NBRC 100330 / DELTA H)

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 O26687 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O26687|SYM_METTH Methionine--tRNA ligase OS=Methanothermobacter thermautotrophicus (strain ATCC 29096 / DSM 1053 / JCM 10044 / NBRC 100330 / Delta H) OX=187420 GN=metG PE=3 SV=1 MSKVFITCALPYANGPTHLGHLRSTYIPADIYARYRRLRGDDVLFVCATDEHGTPIAVKAEAEGRTPLEVATRYHEMIRGDLERCDISFDSFTRTTDELHHEIAQKFFLKLYEKGFIYEKDIKQLYCGDCQRFLPDRYVEGTCPYCGSEGARGDHCEGCGRHLEPLQLEDPRCMVCGSEPEVRDSRHYFFRLNQFQDEIREWIEGSEMPSNVRNYAIQWLREGLKDWILTRDMEWGVQVPLEGNEGKIIYVWGEAFLGYISSAAAWSKKTGRDWREYWDSGAIHFIGKDIIYHHAIFWPALLMAYGCRTPANIIAGEYLSLEGQKMSTSKNWVVWTSDFLERFDRDLLRYYLTVNAPLTRDTDFSWDDFQRRVNDELADVLGNFLHRTFSFTGRFFDGRVPAAGELTAEDLEFLESIRAAHDTVAELLDKFQFRDALMHIIKLAKRGNKYFNDQEPWKAVKESPARASTCLHLCNLLAANLGKLLRPFMPSAAGRILSIMNLEDEAWGFHELREGQVIERAKPLFSKITDEAIEEEKAKLIEEDDEVETVTIDDFTTMDIRVGVIRSAERIEGSDKLLKLIIDVGEREMQVVAGLAEKYSPEDLVERKITVLVNLKPAKLFGVKSEGMVLATGESLNILDPGDAEVGERIR