B1XV14 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidv36zpbwvnsw43dhiedgwuui7wmbsy65jtf5gbciijeiylbg5kbe/metadata.json
IPFS of structure file: 
bafybeid7v2nzf7eczpim5cf3u5ofhrim5yl23byewnunyfo7zpv3copqbu/AF-B1XV14-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4ED13986579E8e227b3ED6c02276c648754EC27
First NFT owner address (bech32): 
genesis17nk38xr9085wyfana4kqyfmvvjr4fmp80usw7n
Current NFT ID #454520 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454520
Accession (UniProt):
B1XV14
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Polynucleobacter necessarius subsp. necessarius (strain STIR1)

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 B1XV14 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1XV14|SYT_POLNS Threonine--tRNA ligase OS=Polynucleobacter necessarius subsp. necessarius (strain STIR1) OX=452638 GN=thrS PE=3 SV=1 MLVVTLPDGSKREFEAPVRVADVAQSIGSGLAKAALGGIVDGKMVDTSFVIDKDSQLAIITDKSPEALEIVRHSTAHLLAYAVKELFPEAQVTIGPVIENGFYYDFSYHRPFTPDDLVALEKKMTELAKRDEPVTRTVMPRDEAVEFFKKQGENYKAELIASIPQGEDVSLYAEGKFTDLCRGPHVPSTGKLKVFKLMKLAGAYWRGDSKNEMLQRIYGTTWLRKEDQDAYLHMLEESEKRDHRRLGKQLDLFHFQEEAPGLIFWHPKGWSIWQEVEQYMRRVYQQEGYQEVKAPQILDRGLWEKSGHWENYKENMFTTESENRAYALKPMNCPGHVQIYNSGLHSYRELPLRFGEFGQCHRNEPSGALHGLMRVRGFTQDDGHIFCTEDQIQSEVAAFDKAVRAVYQDFGFTEVAVKLALRPAKRVGDDAIWDKAEEALRGALKASGQEWEELPGEGAFYGPKIEYHLKDSIGRTWQCGTIQVDFSMPARLGAEYVAENNSRKTPVMLHRAIVGSLERFIGILIENHTGNMPVWLAPTQAVVLNISGNSAAYAQQVQQLLKKQGFRIESDLRNEKITYKIREYALQKTPFLLIVGDKESESNTVAVRARGGVDLGVMPLDAFVARLQQDISQKVGPEPS