Q97B53 AF NFT

Phenylalanine--tRNA ligase beta subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibh55qmaudhaldtwd6rkebzv3nvi655fmps4ya5o5sqdkrddxa4qy/metadata.json
IPFS of structure file: 
bafybeihpe6cbbmkhq67ixmaqy6amea5zfq72offdpeyfqtfxxpthkdgbbq/AF-Q97B53-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x866b846BF04951b9214b46ED5E3FC54E8e4ab00f
First NFT owner address (bech32): 
genesis1se4cg6lsf9gmjg2tgmk4u079f68y4vq076zuja
Current NFT ID #447095 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
447095
Accession (UniProt):
Q97B53
Name::
Phenylalanine--tRNA ligase beta subunit
Experimental Method:
Predicted structure
Sequence source:
THERMOPLASMA VOLCANIUM (STRAIN ATCC 51530 / DSM 4299 / JCM 9571 / NBRC 15438 / GSS1)

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 Q97B53 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q97B53|SYFB_THEVO Phenylalanine--tRNA ligase beta subunit OS=Thermoplasma volcanium (strain ATCC 51530 / DSM 4299 / JCM 9571 / NBRC 15438 / GSS1) OX=273116 GN=pheT PE=3 SV=1 MVVVRRLRQSLVDEYGKEIYSLLKSFADVIGYSFEDEEEIKIEFNPDRPDLFSIPTLVGAAKIFYYNEPIVRSLFQASEIEVAISEGVSFIRPYFAGFVAEGPSIGSKLDDLIDYQEIIHQTVGKERKKVSIGIHDLDKTEPPFRYTTISKLERMKTYDSFEGTIEDVLQKHPKGMAYSSLLPDSRRVPAILDKNGGILSVPPIVNGIMTKIEPETRKFFVDITGMDSNSVKYAFYLLANFFQSSKYRISLPKIKGSYGPSKKEILDFNFRPYRLNLKYVSRYLGDKVSEENVILNLRKMGYVAEPGYPEVMVYVPGFRVDVMGLVDIIEDFIKSYGIENVREQYVSPGTIGSPNIFNEIKEKIRDVVVGLGFQEVMTFVLTGKYYQEDFQGEVRIENPKSEDYSVIRDRLYLNLLDLLARNKKHPLPQRIFEIGDVIVHGKQETHLCVMVEDNRSGVSTSKSILTSFLKRFSDHESKISGKKIYGCIEGRSGEIFLSGKSIGVIGEVHPSTLENFGLVNPISFFEINIQELIDQHQ