Q883H9 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigxekbfsqipqkhtt24feuwzr3irpp5e4r3btzb3u4sfyk725jwrre/metadata.json
IPFS of structure file: 
bafybeig2mnobcf6tv57f2vavl2tdubr6v4jh656kn3xbkmtacf7xkgc5xq/AF-Q883H9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #454553 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454553
Accession (UniProt):
Q883H9
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS SYRINGAE PV. TOMATO (STRAIN ATCC BAA-871 / DC3000)

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 Q883H9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q883H9|SYT_PSESM Threonine--tRNA ligase OS=Pseudomonas syringae pv. tomato (strain ATCC BAA-871 / DC3000) OX=223283 GN=thrS PE=3 SV=1 MPTITLPDGSQRSFDHAVSVADVALSIGAGLAKATVAGKVDGKLVDACDLIENDASLQIITPKDAEGLEIIRHSCAHLVGHAVKQLYPTAKMVIGPVIDDGFYYDIAYERPFTPDDLAAIEQRMQQLIEKDYDVIKKVTPRAEVIEVFTARHEDYKLRLVEGMPDEQAMGLYYHEEYVDMCRGPHVPNTRFLKSFKLTKLSGAYWRGDAKNEQLQRVYGTAWADKKQLAAYIQRIEEAEKRDHRKIGKRLGLFHTQEEAPGMVFWHPQGWTLYQVLEQYMRKVQRENGYLEIKTPQVVDRSLWEKSGHWANYADNMFTTQSESRDYAIKPMNCPCHVQVFNQGLKSYRELPLRLAEFGACHRNEPSGALHGIMRVRGFTQDDAHIFCTEDQMQAESAAFIKLTLDVYADFGFKDIELKLSTRPEKRVGSDELWDRAESALASALDSAGLPYDLQPGEGAFYGPKIEFSLKDCLGRVWQCGTLQLDFNLPIRLSAEYVSEDNSRKNPVMLHRAILGSFERFIGILIEHYEGAFPAWLAPTQAVIMNITDKQADFALEVEKTLAESGFRAKSDLRNEKIGFKIREHTLLKVPYLLVIGDREVEMQTVAVRTREGADLGSMPVAQFAEFLAQAVSRRGRQDTE