Q4QJZ5 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibem3uh7y7aahncgjjhfi2wccipv5t75thgcrv55h7qmz5ox6n3je/metadata.json
IPFS of structure file: 
bafybeidjjkvn4374coxthvg5pxup6vx35e7hg2zpfwzxfia5shqzyr3hay/AF-Q4QJZ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD
First NFT owner address (bech32): 
genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8
Current NFT ID #450784 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450784
Accession (UniProt):
Q4QJZ5
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
HAEMOPHILUS INFLUENZAE (STRAIN 86-028NP)

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 Q4QJZ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4QJZ5|SYM_HAEI8 Methionine--tRNA ligase OS=Haemophilus influenzae (strain 86-028NP) OX=281310 GN=metG PE=3 SV=1 MTTQPRKILVTCALPYANGAIHLGHMLEHIQADIWVRFQRMRGNKIHFVCADDAHGTPIMLNADKLGITPEELIAKAKADHIRDFAGFNISFDNYHSTHSEENKQLTAEIYNKLKANGFIKSKVISQLFDPEKNMFLPDRFVKGTCPKCKAEDQYGDNCEVCASTYSPMDLINPRSAVSGTTPIVKESEHFFFDLPAFEGMLKEWTRSGSLQSEIANKMQEWFESGLQQWDISRDAPYFGFEIPGAKDKFFYVWLDAPIGYMASFKNLCEREGIDFNEFWAEGSDAELYHFIGKDIVYFHSLFWPAMLEGSGYRKPTNVFAHGYVTVDGAKMSKSRGTFIQASTYLNHIDPECLRYYYAAKLNDRIEDLDFNLEDFVQRVNTDIVNKLVNLASRNAGFIAKRFEGKLSDKLEDEALFAEFTAQAEQIAAYYESREYNKAIREIMALTDKANKYIDEKAPWVIAKEEGKEAELQAVCSMGIELFRVLMSYLKPVLPKLAERAEAFLQAELRWDNIHQPLLGHTLAPFKALFSRLEKKQIDAVVEETKALFAAANKAAEKTEAKPTALSAVKPIAETITIDDLAKLDMRVAKVLKCEAVPESNKLLRFELDLGDHTRQVFSGIKAAYNKPEELEGRFVIMVANLAPRQMKFGVSEGMILSAGTGGSDLFLLSADNGVTAGMQVK