Q7WR42 AF NFT

Aspartate--tRNA(Asp/Asn) ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiagkwxjktywenb44thqmkwqtmlqvrac54agko75ejhodavauopmva/metadata.json
IPFS of structure file: 
bafybeib6huoiytdeuyngyy7ywabsnd4dt7xptwyewo3l5zcwsaq6zuglqm/AF-Q7WR42-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCe4913b38f6cdd39cE5A2503280B7fe0683920B8
First NFT owner address (bech32): 
genesis1eey38vu0dnwnnnj6y5pjszmlup5rjg9ccjhwhk
Current NFT ID #444441 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
444441
Accession (UniProt):
Q7WR42
Name::
Aspartate--tRNA(Asp/Asn) ligase
Experimental Method:
Predicted structure
Sequence source:
BORDETELLA BRONCHISEPTICA (STRAIN ATCC BAA-588 / NCTC 13252 / RB50)

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 Q7WR42 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7WR42|SYDND_BORBR Aspartate--tRNA(Asp/Asn) ligase OS=Bordetella bronchiseptica (strain ATCC BAA-588 / NCTC 13252 / RB50) OX=257310 GN=aspS PE=3 SV=1 MRTCYTGQVCRDHLGQTVTLYGWVNRRRDHGGVIFIDLRDRTGLAQIVFDPDNAEAFGTAERLRNEFCISITGLVRLRPEGTANAELASGEVEVLCQQVEILNASVTPPFQLDDDNLSETTRLTHRVLDLRRPQMQHNLMLRYRVSIEVRKYLDQLGFIDIETPMLTKSTPEGARDYLVPSRVNAGYFFALPQSPQLFKQMLMVSGFDRYYQITKCFRDEDLRADRQPEFTQIDCETSFLNEVEIREIFEGMIRHVFKVVQDVDLPTPFPIMSWTEAMQRYGSDKPDLRVNLEFTDMTDVMRDVDFKVFASAATTAGSRVVALRVQGGGEMSRSEIDAYTQFVGIYGAKGLAYIKVNDVAKGREGLQSPIVKNLHDAALAELVKRTGAQNGDIIFFGADRAKVVNDAIGALRVKIGHSEFGKKAGLFSGGWKPLWVVDFPMFEYDEEENRYTAAHHPFTSPKDGHEDFLESDPGKAVAKAYDMVLNGWEIGGGSVRIHREEVQSKVFRALKIDAEEAREKFGFLLDALQYGAPPHGGIAFGLDRIITMMAGAESIRDVIAFPKTQRAQCLLTGAPSEVDEKQLRELHIRLRNVEVK