B9MEX0 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifk3nnsrl5oxpnzk343x3p7udltxz345zek5cuaodasqlqzgdt4su/metadata.json
IPFS of structure file: 
bafybeih5oibg3dp2a6k72tk4p4dpefxvhbffn3zahki7hfnf5r67xg7zoy/AF-B9MEX0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01174A58f4c65021971a156470Db815F4886F4b7
First NFT owner address (bech32): 
genesis1qyt55k85cegzr9c6z4j8pkuptaygda9h4984dy
Current NFT ID #450602 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450602
Accession (UniProt):
B9MEX0
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Acidovorax ebreus (strain TPSY)

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 B9MEX0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9MEX0|SYM_ACIET Methionine--tRNA ligase OS=Acidovorax ebreus (strain TPSY) OX=535289 GN=metG PE=3 SV=1 MTARKIFVTTALPYANGNFHIGHIMEYIQADTWVRAQRMQGNAVNFVGADDAHGAPIMIAAEKAGKTPQQFVADIAAGRKQYLDGFHIAFDNWSNTDSPENHELSQQIYLDLKAAGFIETRTIEQFFDPEKNMFLPDRFIKGECPRCHAKDQYGDNCEVCSSVYAPTDLINPYSALSGAKPVLKTSEHFFFKLSDPRAVEFLTEWTQNGQHVQPEVAAKIKEWFGTRTNPDGTTSEGLDDWDISRDAPYFGIEIPDAPGKYFYVWLDAPVGYLASLKNLLNKRGEDYDAYMADPQLEQYHFIGKDIITFHTLFWPAMLKFSGRKTPTKICVHGFMTVNNGEKMSKSRGTGLDPLKYLALGMNPEWLRYYLGAKLNGKNEDIDFNPEDFMARVNSDLIGKYVNIASRAAGFIFKRFGGKLGEVSADGQALLAQLREQAGPIVAAYEARDTARAVRETMLLCDRVNSYVDANKPWELAKQEGMEARLQDVCTTCIEAFRILTIYLKPILPQVAAEVARFLIVPPEQFAEVAQPLGAGHQIGQYQHLMQRVTQEQLDALFEPPAPAVEKVIPGGEEIAPTITIDDFAKVDLRIAKIVKCEAVEGSTKLLRLTLDAGEGQTRNVFSGIASMYKPEDLQGKLTVMVANLAPRKMKFGLSEGMVLAASHADEKAHPGIFVLEPFPGAQPGMRIH