A6UUN1 AF NFT

Methionine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid5ckpprgnbs7gmqtzyrhk2x2owwr3l2pshxfm2kac26w7tafk3te/metadata.json
IPFS of structure file: 
bafybeicpi42dqzye6ptdp7y3d57c7koh2db7oy7ijfhjilqt6gza4ylnwu/AF-A6UUN1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7F85846Df2ABeDb13df689Dc989C0E52684807CF
First NFT owner address (bech32): 
genesis107zcgm0j40kmz00k38wf38qw2f5ysp70hey28a
Current NFT ID #450831 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
450831
Accession (UniProt):
A6UUN1
Name::
Methionine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
METHANOCOCCUS AEOLICUS (STRAIN ATCC BAA-1280 / DSM 17508 / OCM 812 / NANKAI-3)

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 A6UUN1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6UUN1|SYM_META3 Methionine--tRNA ligase OS=Methanococcus aeolicus (strain ATCC BAA-1280 / DSM 17508 / OCM 812 / Nankai-3) OX=419665 GN=metG PE=3 SV=1 MNNKYLLTTALAYTNGPLHLGHARSTYIPADIIKRYLKLKGNDVIHVGGTDNHGVPITLTAEKEGVKPEDIVNKYHNEIKRDLDNLSVEFDSYGKTHSDTHIQNAQEFYKKLKENGYIYEKEIEQFYCPDCDKFLADRYVEGSCPFCEGEARGDHCEVCGRHLEPTELVNPYCVICNATPQLKKTTHYFFKLSALSDNLDNYVKNSNMPDHIKNMAYSWIRELHDWDISRGIKWGVPIPDDENQVMYVWLEAPIGYISFTKMMGDIWKEYWLKNNDNNTENQNTKIWHFIGKDITVHHAVFWPGMLLGHGEYNLPNSIFSGGYLTLEGKKMSTSKKWVVWVDDFIKYFDSDYLRYFLMANAPLNRDCDFSFDEFQKRINTELIAIIANFTHRALVFSHRKFGALPVIDKPEEELNKEDLALLDKCSETIEKYNKNMMDCNLKDALVDIIHLAKEGNNYFQKMEPWTVDDENRLKQIMFVCGVITKHIAYLLYPFMPNKTNELLDLMNEEMDLEIRGNELKKPIVVFSKIENDTIKMVKEKLLKSENSKNTKNKKKNTKKNKNGEKMELIGIDDFAKIELKVAQILEAEEVPKSKKLLKLIVDIGDEKRQVVAGIKGHYTPEELIGKKIVLVCNLKPAKLCGVESQGMVLAAGDEEVALLSPEKDLPVGSTIC