A4IX68 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeice4u32xqtnyaeox4hnxkvj2jiesr5oeicmfryta6gulo5z5kxzgy/metadata.json
IPFS of structure file: 
bafybeidtfvgb3bo65gv3xnvqzmvqcr6fai4bhzoa6e554jv5nvjss4jcla/AF-A4IX68-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbe16d62EBe1647348E4f506207f4F42FE1EA97cE
First NFT owner address (bech32): 
genesis1hctdvt47zernfrj02p3q0a859ls7497wenaf0e
Current NFT ID #454346 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454346
Accession (UniProt):
A4IX68
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Francisella tularensis subsp. tularensis (strain WY96-3418)

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 A4IX68 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4IX68|SYT_FRATW Threonine--tRNA ligase OS=Francisella tularensis subsp. tularensis (strain WY96-3418) OX=418136 GN=thrS PE=3 SV=1 MINIRFPDGSIREFEAGVNSLDVAKSISPSLAKATMAAYIDDQLKDAKDAINSNCELRLITVKDPEGLEILRHSCAHLLAHAVKELYPNTEVTIGPVVDNGFYYDFSFKESIGEADLPTIEKKMKELAKKSAPVSYRVVPKAEAIEFFKAQGENYKVEIIDSIADEQMKIYTQDNFSDLCRGPHIPNTSVLKAFKLTKLAGAYWRGNSDNEMLTRIYGTCWATKEDLEQYLNMLEEAEKRDHRKIGKVLDLFHFQEDSPGIAFWHDNGVRIWRQVEDYMRASNNKYGCSEIRTPLIADFSLWQKSGHASKYAENMFATKSENRDFAIRPMNCPTCVQVYNTKLHSYRDLPIRMAEFGIVHRNEPSGSLHGLLRVRSFTQDDGHIFCTPEQVEEEVILMVQQCFEVYKDFGFNDFAIKIALRPENRIGDDETWDKSEQMLKNALDANNVSYELLPGEGAFYGPKIEFHLKDAIGRSWQCGTIQLDFSMPQRLGATYIDKNGEKQVPVMLHRAIVGSLERFIGMLIEHYAGNLPLWLAPVQVAVMGISNNQDDYCKEVFIMLEKNGIRAKLDLRNEKIGFKIREHTLLRVPYLVILGKNEQEQKIITIRKHSGEDLGQMSVDDFCAFLDKQIQAKE