Q0A582 AF NFT

Aspartate--tRNA(Asp/Asn) ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeick5puwkku5gvgyijtz6o5jpjlf7kclr5qq4v4tv3qspxtenso2ky/metadata.json
IPFS of structure file: 
bafybeievjge6m3et6dze5ww5pz4rxvgtvugnjpuczkd4qp3lj24sdkfsmm/AF-Q0A582-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA458d67e82B7FfA0Ce634c4b82799b47bE04B1a0
First NFT owner address (bech32): 
genesis153vdvl5zkll6pnnrf39cy7vmg7lqfvdqezsqwv
Current NFT ID #444397 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
444397
Accession (UniProt):
Q0A582
Name::
Aspartate--tRNA(Asp/Asn) ligase
Experimental Method:
Predicted structure
Sequence source:
Alkalilimnicola ehrlichii (strain ATCC BAA-1101 / DSM 17681 / MLHE-1)

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 Q0A582 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0A582|SYDND_ALKEH Aspartate--tRNA(Asp/Asn) ligase OS=Alkalilimnicola ehrlichii (strain ATCC BAA-1101 / DSM 17681 / MLHE-1) OX=187272 GN=aspS PE=3 SV=1 MRTHYCGHVSETDLDQEVTLCGWAHRRRDHGGVIFIDLRDREGLVQVVFDPDRPETFALAERVRSEFVLKVRGRVRRRPAGTENPDLPTGQVEVLGLELDLLNPAKTPPFQLDEHEQAGEDVRLRYRYVDLRRPEMLQRLRARARITSNLRRFLDEHGFLDIETPMLTRATPEGARDYLVPSRTHPGSFFALPQSPQLFKQLLMMAGMDRYYQIVRCFRDEDLRADRQPEFTQLDIETSFMDEEGIMHLTERMMRRLFADVLQVDLPDPFPRMGYAEAMARFGSDKPDLRIPLELVEVADLMGGVEFKVFAGPAADPRGRVAALHVPGGAGLTRKQIDDYTQFVGRYGAKGLAYIKVNDPAQGREGLQSPILKFLTDEAVDGILRRTEARAGDLIFFGADKAKVVNDALGALRVKLGHDLAMVEDEWRPLWVVDFPMFEYDEKDGRLYALHHPFTAPNVDDPAELADKDPEQLVSRAYDMVLNGTELGGGSVRIHRQDMQQAVFRLLGIDEDEARAKFGFLLDALEYGAPPHGGIAFGLDRLVMLMTGASSIREVMAFPKTQTAACLLTDAPAEVDIAQLQELALRITKPQA