Q9JVA3 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiandqkz6wlb6kihnny7dbchqmz3e35tdapqlqed2bhz5bq5apnimq/metadata.json
IPFS of structure file: 
bafybeidvfy56y66tboymurjk3vawar5h43bweawvviw3crq2yi3vvpzrkm/AF-Q9JVA3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x82eDD4a18Ff145e81685990353EbDBB7Bb27EF2c
First NFT owner address (bech32): 
genesis1stkafgv079z7s959nyp4867mk7aj0mev2enfqq
Current NFT ID #454482 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454482
Accession (UniProt):
Q9JVA3
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Neisseria meningitidis serogroup A / serotype 4A (strain DSM 15465 / Z2491)

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 Q9JVA3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9JVA3|SYT_NEIMA Threonine--tRNA ligase OS=Neisseria meningitidis serogroup A / serotype 4A (strain DSM 15465 / Z2491) OX=122587 GN=thrS PE=3 SV=1 MLNITLPDGSVRQYESPVTVAQIAASIGAGLAKAAVAGRVNGKLVDACDPIVEDSAVQIITPKDQEGIEIIRHSCAHLVGHAVKQLYPNAKMVIGPVIEEGFYYDIATEKPFTPEDVAAIEARMKELIAQDYDVVKIMTPRAEAIKIFQERGEEYKLRLIDDMPEVEAMGMYHHQEYVDMCRGPHVPNTRFLKNFKLTKLAGAYWRGDSNNEMLQRIYGTAWATKDELKAYIQRIEEAEKRDHRKLGKQLDLFHLQDEAPGMVFWHPKGWALWQVIEQHMRKELNAAGYKEVKTPQIMDKTFWEKSGHWENYKDNMFVTSSEKREYAVKPMNCPGHVQIFNNGLRSYRDLPMRLAEFGSCHRNEPSGALHGLMRVRGFVQDDAHIFCTEDQIVSEARAFNELLVRIYKQFGFHDVSVKLSLRPEQRAGSDDVWDKAEQGLREALTACGVEWGELPGEGAFYGPKIEYHVRDALGRSWQCGTLQLDFVLPERLDAEYVTENNDRARPVMLHRAILGSLERFIGILIENHAGSFPLWLAPVQLVIMNITENQADYCREVAAKLQAAGFRVELDLRNEKIGYKIRDNSQYRFPYQIVVGDKEKQENKVAVRRKAEDLGSLDLDDFIAQLQQEITDALVNH