P46244 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicapyofn24tmiskwzomha6zejgswlpcfwmbyd7sdqqktu62mbowzi/metadata.json
IPFS of structure file: 
bafybeibqcqgvznk2abgvtq4shj26zbzhxhkl7xiwtposf54m6c7a3tkic4/AF-P46244-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD
First NFT owner address (bech32): 
genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8
Current NFT ID #454195 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454195
Accession (UniProt):
P46244
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Buchnera aphidicola subsp. Schizaphis graminum (strain Sg)

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 P46244 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P46244|SYT_BUCAP Threonine--tRNA ligase OS=Buchnera aphidicola subsp. Schizaphis graminum (strain Sg) OX=198804 GN=thrS PE=3 SV=2 MPVIRFCDGSQQVYKHSVSLREIIENKKPNIIRSLIAISVNNSFSNFNTLITEDSSISFISKKDCEALNIIRYSCIQLLNYAAKKTWPSCKIGESEITKSGFYCDIDFENSITEEDFFILENNMKTLIKREYFISHQNISFDHAYEMFKKKSEIYKIHLIKKYINKKNKISLYYHENYFDIDMGMQVFNIKFCKYFKLQKIGGIYWKGDHKNKMLQRIYGTAWSTKKELDKHLSYINELKKRDHRKIGKLLNLYHMQKESPGMIFWHNNGWIIFNELEIFVREKLKEYKYKEVKTPLLIDKSIWQKSGHWDNYQDAIFTTSSENREYCIKPMNCPGHVQIFNCGLKSYRDLPIRMAEFGSCHRNESSGSLHGLMRIRNFTQDDAHIFCTQEQLRYEINNCIKMIYDLYSTFNFKKILVKFSTRPKKRIGDESVWDQAEKDLSDVLIENNLKFEHQEGEGAFYGPKIEFVLQDSLDRNWQCGTIQLDFYLPIRLRSFYIDEHNHQKIPIIIHRAILGSIERFIGILIEEFSGKLPTWLSPIQVVILSITDSHINYVKKIVQHFSDINIRVESDLRNEKIGFKIREHTLRQIPYILICGEKEIKSKKISVRTRNGYNLGIIDIDCFIKKLQKEIFTRSFYQMEE