A8FK07 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia35k5i4s6rh3mfbdjnibmcizyv3wms6trhf7l6nwjwoo52kn7m2q/metadata.json
IPFS of structure file: 
bafybeigh3dxt6bnpasf6rwppwvle2qv5dqjswi7lcq7nookpwx6srxo36q/AF-A8FK07-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd6f1C45ae359F717e1639912EDB57E4602FE4F81
First NFT owner address (bech32): 
genesis16mcugkhrt8m30ctrnyfwmdt7gcp0unupesve49
Current NFT ID #454219 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454219
Accession (UniProt):
A8FK07
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Campylobacter jejuni subsp. jejuni serotype O:6 (strain 81116 / NCTC 11828)

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 A8FK07 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A8FK07|SYT_CAMJ8 Threonine--tRNA ligase OS=Campylobacter jejuni subsp. jejuni serotype O:6 (strain 81116 / NCTC 11828) OX=407148 GN=thrS PE=3 SV=1 MEKEVIAYLDNETIIDSQSVKNTNLKEIYFDNSKESLEVIRHSCAHLMAQAIKNLYPEAKFFVGPVIEDGFYYDFRVESKIGEEDLVKIEKKMKELAEAKIEISKYEITKNEALAKFQNDDLKQEVLLRIPDGAVSIYKQGEFEDLCRGPHVPNTKFLRFFKLTRVAGAYLGGDEKREMLTRIYGTAFADKESLKEYLTIIEEAKKRDHRKLGTELKLFTFDDEIGGGLPIWLSNGARLRSKLEHILYKIHRLRGYEPVRGPELLKADAWKISGHYANYKENMYFTQIDEQEYGIKPMNCVGHIKIYQSDVRSYRDLPLKFFEYGVVHRHEKSGVLHGLFRVREFTQDDAHIFCMPSQIKEQVLEILAFVDNLMKLFDFSYEMEISTKPEKAIGDDEIWEVATKALKEALDEQGLKYGIDEGGGAFYGPKIDIKITDALKRKWQCGTIQVDFNLPSRFKLEYTDSDNEKKQPVMLHRAILGSFERFIGILTEHCAGEFPFFIAPTAVGIVPIGEAHIAYAKEIQKELLELNIDSEVYEKNESLSKKIRTAEKQKLPMILVLGDDEVAKRSVALRDRRAKEQKNLSLDEFIKLVKEKMSEVHF