Q9PIS3 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid57hqfqruzzsayykh6z6hlq2ozbs6c5bxpj5ats6l3ldtx7lp5ty/metadata.json
IPFS of structure file: 
bafybeiajgak2mmk7ns2kse5cyaw5eu3wmceq325cscp6xi5kg27ylfs7z4/AF-Q9PIS3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8450Ed5746a3Ae7d5F0ca5D3187279743150027
First NFT owner address (bech32): 
genesis1lpzsa4t5dgaw040sefwnrpe8jap32qp85dqvgn
Current NFT ID #454221 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454221
Accession (UniProt):
Q9PIS3
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
CAMPYLOBACTER JEJUNI SUBSP. JEJUNI SEROTYPE O:2 (STRAIN ATCC 700819 / NCTC 11168)

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 Q9PIS3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PIS3|SYT_CAMJE Threonine--tRNA ligase OS=Campylobacter jejuni subsp. jejuni serotype O:2 (strain ATCC 700819 / NCTC 11168) OX=192222 GN=thrS PE=3 SV=1 MEKEVIAYLDNETIIDSQSVKNTNLKEIYFDNSKESLEVIRHSCAHLMAQAIKSLYPEAKFFVGPVIEDGFYYDFRVESKIGEEDLVKIEKKMKELAEAKIEISKYEITKSEALAKFQNDDLKQEVLLRIPDRAVSIYKQGEFEDLCRGPHVPNTKFLRFFKLTRVAGAYLGGDEKREMLTRIYGTAFADKESLKEYLTIIEEAKKRDHRKLGTELKLFTFDDEIGGGLPIWLSNGARLRSKLEHMLYKIHRLRGYEPVRGPELLKADAWKISGHYANYKENMYFTQIDEQEYGIKPMNCVGHIKIYQSDVRSYRDLPLKFFEYGVVHRHEKSGVLHGLFRVREFTQDDAHIFCMPSQIKEQVLEILAFVDNLMKLFDFSYEMEISTKPEKAIGDDEIWEIATKALKEALDEQGLKYGIDEGGGAFYGPKIDIKITDALKRKWQCGTIQVDFNLPSRFKLEYTDSDNEKKQPVMLHRAILGSFERFIGILTEHCAGEFPFFIAPTAVGIVPIGEAHIAYAKEIQKELLELNIDSEVYEKNESLSKKIRIAEKQKLPMILVLGDDEVAKRSVALRDRRAKEQKNLSLDEFIKLVKEKMSEVHF