Q2T132 AF NFT

Aspartate--tRNA(Asp/Asn) ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigmph3npydeakky2fqhpfz2vtuznbv6ktdke6kaxlupk4bihf3kda/metadata.json
IPFS of structure file: 
bafybeiapsegieyrzp4vfsvwjbzg7p76wbdzwvoxnpeow47a2stuesxhyuu/AF-Q2T132-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2F61dB7B2C9a82D9F38c269549C95103f50F9AEa
First NFT owner address (bech32): 
genesis19asak7evn2pdnuuvy625nj23q06slxh2uv35fr
Current NFT ID #444482 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
444482
Accession (UniProt):
Q2T132
Name::
Aspartate--tRNA(Asp/Asn) ligase
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA THAILANDENSIS (STRAIN ATCC 700388 / DSM 13276 / CIP 106301 / E264)

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 Q2T132 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2T132|SYDND_BURTA Aspartate--tRNA(Asp/Asn) ligase OS=Burkholderia thailandensis (strain ATCC 700388 / DSM 13276 / CIP 106301 / E264) OX=271848 GN=aspS PE=3 SV=1 MSMRTEYCGLVTEHLLGQTVSLCGWVQRRRDHGGVIFIDLRDREGLVQVVCDPDRAEMFATAEGVRNEFCVQVKGLVRNRPEGTVNAGLKSGKIEVLCHELTVLNASVTPPFQLDDDNLSETTRLTHRVLDLRRPQMQHNLRLRYRVAIEARKYLDEQGFIDIETPMLTKSTPEGARDYLVPSRVNAGQFFALPQSPQLFKQLLMVANFDRYYQITKCFRDEDLRADRQPEFTQIDCETSFLGEQEIRDLFEDMIRHIFKTTIDVELDAKFPVMPYSEAMARFGSDKPDLRVKLEFTELTDAMKDVDFKVFSTPANTKDGRVAALRVPKGAELTRGDIDGYTEFVRIYGAKGLAWIKVNERAKGRDGLQSPIVKNLHDASIAAILERTGAQDGDIVFFAADRAKVVNDSLGALRLKIGHSEFGKANGLVESGWKPLWVVDFPMFEYDDEEARYVAAHHPFTSPKDEHLEYLETDPGRCLAKAYDMVLNGWEIGGGSVRIHREEVQSKVFRALKIGPEEAQAKFGFLLDALQYGAPPHGGIAFGLDRIVTMMAGADSIRDVIAFPKTQRAQCLLTQAPSPVDERQLRELHIRLRQPEQPKA