P57838 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif65sfhwhrs3g3naflclw5sd7ccerghdzpll4pe5hqbmi6lhy6ibm/metadata.json
IPFS of structure file: 
bafybeih2e275wnpycixslkwsceznnkrbraileutiemsjxuhib3hoko3gci/AF-P57838-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6dc74119484C5151aCc3EF094b7BB769Ff40c87f
First NFT owner address (bech32): 
genesis1dhr5zx2gf3g4rtxrauy5k7ahd8l5pjrl4ysygh
Current NFT ID #450883 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450883
Accession (UniProt):
P57838
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
PASTEURELLA MULTOCIDA (STRAIN PM70)

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 P57838 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P57838|SYM_PASMU Methionine--tRNA ligase OS=Pasteurella multocida (strain Pm70) OX=272843 GN=metG PE=3 SV=1 MANSARDILVTCALPYANGAIHLGHLLEHIQADIWVRFQRMRGHKVHFICADDAHGTPIMLNADKLGITPEALIARSKADHVADFEGFNISYDNYHSTHSPENEALTAEMYKKLRANGFIKSRTISQLFDPEKGMFLPDRFVKGTCPKCKAEDQYGDNCEVCSSTYSPTELINPRSVVSGATPVLKESEHFFFDLPAFEGMLKAWIKSGSLQPEIANKMQEWFESGLQQWDISRDAPYFGFKIPDTEDKYFYVWLDAPIGYMASFKNLCDKTGLNFDDFWKKDSSAELYHFIGKDIVYFHSLFWPAMLDGCDLRKPTNVFAHGYVTVNGVKMSKSRGTFIQASTYLRHLAPEYLRYYYAAKLNNRIEDLDLNLEDFVQRLNADVVNKFVNLASRSAGFITKRFDGKLSAEIAEPELLAEFVEKAAQIATYYEEREFGKVVREVMQLADKANKYIDDKAPWVMAKEEGREAELQAVCSMALQLFRVLAIYLKPVIPQIIARAEAFLQDELTWESLNRPLLNHAILPFKALAQRLDPKQIEAIVNETKEQFVAQQALEQKNSAKAEPASQVEPIAETISIEDFAKLDLRVAKVMKCEAVPESNKLLRFELDLGDHTRQVFSGIKEAYNNPAELEGRFVVVIANLAPRKMRFGVSEGMILSAGTGGADLFLLNADQGVKPGMQVK