Q1D8K2 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif52s5tqr2l4gbaxyaagjzr7hbhlbp3vjolgxjrxcyj4jwajqxbky/metadata.json
IPFS of structure file: 
bafybeieozgeepeudp6w6f2benlfhp6dgjcpo7yfysxzqxdaho42hkwvvte/AF-Q1D8K2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd42330059Fd4881e991492B9A3dB324d13Cca166
First NFT owner address (bech32): 
genesis16s3nqpvl6jypaxg5j2u68kejf5fuegtxatdz9w
Current NFT ID #450863 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450863
Accession (UniProt):
Q1D8K2
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
MYXOCOCCUS XANTHUS (STRAIN DK1622)

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 Q1D8K2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1D8K2|SYM_MYXXD Methionine--tRNA ligase OS=Myxococcus xanthus (strain DK1622) OX=246197 GN=metG PE=3 SV=1 MAERTLVTSALPYANGPLHIGHAVEYVQTDIYVRFLRSCGRDVVYFCADDTHGTPIELNAAKQGLKPEEFIARFHEEHQRDFHDLDVRFDYFHSTNSPENRQYAELIYGRLKEKGDIERRNIEQTYCENDRRFLPDRFIKGTCPNCKASDQYGDACEKCGKAYDPTDLIDARCALCGTPPVRKHSEHLFFKLSRHEDFLQDVLRKPGFIHPGLATQLQGFFEKGLSDWDISRDGPYFGFAIPGETDKYFYVWLDAPIGYIATTEKWAKETGKAKSALDYWSADADTRIIHFIGKDIVYFHALFWPAVLNVAGFHIPSEIKVHGHLMLNGEKMSKTRGTMVPVRDYLDQLDPSYLRYFYAANLGPGVEDLDLNLKDFRQRVNGELVNNVGNLANRALSLLAGPLEKRLAPGRAEGPGRELVEAALARVPEVRDAFDKLEYRSAIRVITEIASAANGFLQTAAPWAQVKKDAEVARADLSDAADVAYLLGALLAPVTPRLSEKLFAQLGAEPLTFQALEGAKYPLLDRSRPIGTPEPLLPRLEEERVNAIIKLPEGAAAPQAAEARPAKGAKTEKKPAEAPAATQAAAPSAGAAESPGEIEYDDFAKVVLKAGKVLAAEKVQKADKLLKLTVDVGEGSPRTIVSGIAEAFAPEALTGRNVVVVANLKPRKLKGIESRGMLLTAGPGGKELSLLDPGDVAPGSEVK