Q1AWB4 AF NFT

Aspartate--tRNA(Asp/Asn) ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigm2resnp2ejbp4ek6l2nismia235mv3hhmw52q2e3vaex5axwib4/metadata.json
IPFS of structure file: 
bafybeie3lcwow7ut6zdp773awfnngo2dlcyrek2zzwekedw7yxtt5cosqi/AF-Q1AWB4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA80347Aa690FE12ACe878Fda355131B88e23BFEC
First NFT owner address (bech32): 
genesis14qp502nfplsj4n583ldr25f3hz8z80lvm8hytc
Current NFT ID #444753 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
444753
Accession (UniProt):
Q1AWB4
Name::
Aspartate--tRNA(Asp/Asn) ligase
Experimental Method:
Predicted structure
Sequence source:
Rubrobacter xylanophilus (strain DSM 9941 / NBRC 16129 / PRD-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 Q1AWB4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1AWB4|SYDND_RUBXD Aspartate--tRNA(Asp/Asn) ligase OS=Rubrobacter xylanophilus (strain DSM 9941 / NBRC 16129 / PRD-1) OX=266117 GN=aspS PE=3 SV=1 MHGTATNPYRTHTAGELRASNVGQRVRLAGWVHRRRDHGGLIFVDLRDRWGITQVTFDPERGEVFSAAERLRPEWSVSVEGEVVRRPEGNENPELPTGEIEVEASSLRVLNASETPPFEIDRERPVDELTRLRYRYLDLRRERMRENILFRDRVVRYIRRYLAERDFVEVETPLLTKSTPEGARDYLVPSRLYPGQFYALPQSPQQFKQLLMVAGLERYFQIARALRDEDQRGDRQPEHTQLDLEMSYTTQDEVLQLIEGLYTEIVERLTEKRVLFKPFPRLTYAEAMERFGSDKPDLRFGLELRDVSDLARSSEFKVFRNAVEAGGSVRGLAAGGLGDLSRRELDGLTEVAREGGARGLAHLRAEGKALKGPVAKFFSAEEQAALREALGARPGDWMFFVADRDPVVFESLNRLRLHLRDRLGLADRDALAFCWITDFPLFEYNEEEGRIEPMHHMFTMPREEDIPLLDTDPLAVTGQLYDLVANGVELASGSIRIHRPDLQQKVFSIIGIDEEEAERRFGTLLRAFRYGAPPHGGIAPGIDRLVMLLRDEPNIREVMAFPKTQAARDEMMDAPSPVSEEQLRELHISLCLPPEERRNP