B6EIY5 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeignc5rbi5tsqyvxh2dzskw3cr2loqqgempt444i6lwbofgqfkw4sm/metadata.json
IPFS of structure file: 
bafybeiahhlc2mqyqd2y2eioq56tgrfhxlsbz6ffxxkotmlx67wvq4dzi3m/AF-B6EIY5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x77ced317A34D07425C0D730f27048EFb6B0c5E7C
First NFT owner address (bech32): 
genesis1wl8dx9arf5r5yhqdwv8jwpywld4schnuautkfz
Current NFT ID #450616 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450616
Accession (UniProt):
B6EIY5
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Aliivibrio salmonicida (strain LFI1238)

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 B6EIY5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B6EIY5|SYM_ALISL Methionine--tRNA ligase OS=Aliivibrio salmonicida (strain LFI1238) OX=316275 GN=metG PE=3 SV=1 MATDPRKILVTCALPYANGSIHLGHMLEHIQADIWVRYQRLRGNDINFICADDAHGTPIMLKAQQMGITPEEMIAAVSEEHQKDFAGFDISFDNYHSTHSDENRELASSIYLELKKNGFITSRTISQLFDPEKEMFLPDRFVKGTCPKCKSEEQYGDNCDNCGETYSPTDLINPKSAVSGATPVMKDSEHFFFDLPQFESMLKEWTRSGSLQTETANKMQEWFESGLQQWDISRDAPYFGFEIPGETNKFFYVWLDAPIGYMGSFKNLCDKRDDLDFDEYWKLNSTTELYHFIGKDIVYFHSLFWPAMLDGAGFRKPNNVFVHGYVTVNGAKMSKSKGTFIKAGTYLNHLDPECLRYYYAAKLNSRIDDIDLNLEDFTQRVNSDVVNKIVNLASRNAGFITKRFDGKLSDNFVAPELYNEFVAASDRIAELYETREFSRAIREITALADKANQYIDEKAPWVLAKEEGKEQELQEVASVGINLFRVLMAYLKPVMPELAARTEAFLNETLTWECIAQPLTSHEITKFKALFNRIDPKKVEAMVEESKEDAAIEMAAKEKAEAEKEKANQTELDKEPIADEIEFDAFEAVDMRIARIISCEEIPKANKLLKFQLDIGGETRQVFSGIKSAYTPEELVGKHTVMVANLKPRKMKFGMSEGMILAAGPGGKDLWILEPHEGAQPGMRVM