Q82SQ5 AF NFT

Aspartate--tRNA(Asp/Asn) ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiacmbnt3oz3l4yapqvkixmzahmpsosjirpa5orrst3swuj5n5oway/metadata.json
IPFS of structure file: 
bafybeicxsh7lgmaadbd3tlfbqal47h2hx5wfv4znwiedbpzg24sbkcrvoq/AF-Q82SQ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3787D36AcB8Bb0A2eb5f48E0812EEcdE066EC16b
First NFT owner address (bech32): 
genesis1x7rax6kt3wc2966lfrsgzthvmcrxasttga980t
Current NFT ID #444663 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
444663
Accession (UniProt):
Q82SQ5
Name::
Aspartate--tRNA(Asp/Asn) ligase
Experimental Method:
Predicted structure
Sequence source:
NITROSOMONAS EUROPAEA (STRAIN ATCC 19718 / CIP 103999 / KCTC 2705 / NBRC 14298)

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 Q82SQ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q82SQ5|SYDND_NITEU Aspartate--tRNA(Asp/Asn) ligase OS=Nitrosomonas europaea (strain ATCC 19718 / CIP 103999 / KCTC 2705 / NBRC 14298) OX=228410 GN=aspS PE=3 SV=1 MRTDYCGAINTRHLDKTITLCGWVHRRRDHGGVIFIDLRDREGIVQIVCDPDNVAAFQIAEKIRSEFVLAITGTVRHRPEGTVNHGILSGEIEVLVNAIEILNPSLTPPFQMDDDNLSEAIRLEYRYLDLRRPVMQRNIRLRHQVTMAVRIFLDQHGFIDVETPMLTKSTPEGARDYLVPSRVNAGHFFALPQSPQLFKQLLMVSGFDRYYQITRCFRDEDLRADRQPEFTQIDIETSFLPENEIMGMMEDMIRRLFASVLDISLPDPFPRLSYADAMFLYGSDKPDLRVPLVLTELTDLMQDVPFQVFRDAAQKAGGRVAALRVPGGGELSRKEIDEYTQFVGIYGAKGLAYIKINDLTKGIEGLQSPILKFLPESVVQSILERTQAQNGDLVFFGADKAKVVNDALGALRVKIGHERNLATDSWQPLWVVDFPMFEWDEEEKRWQALHHPFTSPSQGHEDFLTSDPGKALSRAYDMVLNGMEIGGGSIRIHRQDIQSKVFQALNISDDEAKLKFGFLLDALQYGAPPHGGIAFGLDRIVAMMTGADSIRDVIAFPKTQRAQCLLTQAPGAVEEKQLRELHIRLRRTENTNN