B2S0T6 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih6nntjopnjrzqdi3cb54lu2nx2pnbtwld6b6viqkiub45cfsot74/metadata.json
IPFS of structure file: 
bafybeie3cx42vro2vkx7xbuotxgytdkyi67binsapob4caxfdpx4mcayn4/AF-B2S0T6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x885b3C9522Bc4aE586dd121409A62Ec83F58cfe2
First NFT owner address (bech32): 
genesis13pdne9fzh39wtpkazg2qnf3weql43nlz5d0hcv
Current NFT ID #450653 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450653
Accession (UniProt):
B2S0T6
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Borrelia hermsii (strain HS1 / DAH)

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 B2S0T6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2S0T6|SYM_BORHD Methionine--tRNA ligase OS=Borrelia hermsii (strain HS1 / DAH) OX=314723 GN=metG PE=3 SV=1 MKKKNLITAALPYVNNIPHLGNLVQVLSADAFARYSRMMGIETLYVCGTDEYGTATETKALIEKTTPEELCNKYYEIHKSIYEWFNIKFDIFGRTTNKRHKETVQDLFLKLEKNGYTTEKESEQFFCKQDQMFLADRYVTGECPNCGNNAKGDQCENCSKLLSPTDLINPKCIICKNIPIIKTTKHIYIDLPKIKDELSHWMQITELNTNWNTNAIKITNAFLRDGLKERAITRDLKWGIPVPKKEYENKVFYVWFDAPIGYISITKEISKDWESWWKNNEETNLVQFIGKDNILFHTVIFPSIALGSKENWTMLSKLASSEYLNYENLKFSKSAGTGIFGNDVITTGIPSDIWRFYIYYNRPEKSDFQFMWDDFMERVNSELIGNFSNLVNRVLTFYKKFFGDQIDKIEIKEDFWQEINLKYDKTLNFFKQVELKSALKEILDISRTGNKIFQDKEPWKTKDSTPQKTKELLLNLIYLIRDLSILISPFIPHTSDKIRRFFGNSYEISNRFLGTNLGLSTIQFTEVLFIKLEKHLINSLKLKYSGSKNMQDEQTSNQINPINLFSEQVCLKVVQVKTIERNPDAEKLFILKLNDGSSDGKQIVSSLADYYKEEELIGKHIIIVDNLKPAKFRGIKSEGMLIATEDKDKNFKVIIVEDFKDNPIPGERIILESDSYKELKSPAKISIDKFFKTQIVAENGELKINGINLILEHSKEKILSIEIPNGKVY