A5UF42 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifxgn6k6irohswufgqeiqg4fx6bjilnwpcoccblbxle3qrjiw4s3q/metadata.json
IPFS of structure file: 
bafybeibbiheoqn4jplfru4pu7wz3bzgcpln3e3rxl3n2ttbvnnwugw3oja/AF-A5UF42-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD0cfbEc245A8BAC2A6eE43DE22b2C650C2c695B5
First NFT owner address (bech32): 
genesis16r8masj94zav9fhwg00z9vkx2rpvd9d49s2r9p
Current NFT ID #450786 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450786
Accession (UniProt):
A5UF42
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Haemophilus influenzae (strain PittGG)

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 A5UF42 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5UF42|SYM_HAEIG Methionine--tRNA ligase OS=Haemophilus influenzae (strain PittGG) OX=374931 GN=metG PE=3 SV=1 MTTQPRKILVTCALPYANGAIHLGHMLEHIQADIWVRFQRMRGNKIHFVCADDAHGTPIMLNADKLGITPEELIAKAKADHIRDFAGFNISFDNYHSTHSEENKQLTAEIYNKLKANGFIKSKVISQLFDPEKNMFLPDRFVKGTCPKCKAEDQYGDNCEVCASTYSPMDLINPRSAVSGTTPIVKESEHFFFDLPAFEGMLKEWTRSGSLQSEIANKMQEWFESGLQQWDISRDAPYFGFEIPGAKDKFFYVWLDAPIGYMASFKNLCNREGIDFNEFWAEGSDAELYHFIGKDIVYFHSLFWPAMLEGSGYRKPTNVFAHGYVTVDGAKMSKSRGTFIQASTYLNHIDPECLRYYYAAKLNDRIEDLDFNLDDFVQRVNTDIVNKLVNLASRNAGFIAKRFESKLADKLEDESLFAEFTAQAEQIAAYYESREYNKAIREIMALTDKANKYIDEKAPWVIAKEEGKEAELQAVCSMGIELFRVLMSYLKPVLPKLAERAEAFLQAELRWDNIHQPLLGHTLAPFKALFSRLEKKQIDAVVEETKALFAAANKAAEKTEAKPTALSAVEPIAETITIDDFAKLDMRVAKVLKCEAVPESNKLLRFELDLGDHTRQVFSGIKAAYNKPEELEGRFVIMVANLAPRKMKFGVSEGMILSAGTGGSDLFLLSADNGVTAGMQVK