B2SX42 AF NFT

Aspartate--tRNA(Asp/Asn) ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihw55vmz2qknvnd2cpf75iqon5u5rtkyfhomx7is2q3qsljf7vbf4/metadata.json
IPFS of structure file: 
bafybeig3gxeeeu7a22gmbr44xe6jimk4adeboqgswdu5mr2lrukgflukdu/AF-B2SX42-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3A7e510d5Fe0a904A5F6B369757a13a6EC544512
First NFT owner address (bech32): 
genesis18fl9zr2luz5sff0kkd5h27sn5mk9g3gj0g2khk
Current NFT ID #444681 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
444681
Accession (UniProt):
B2SX42
Name::
Aspartate--tRNA(Asp/Asn) ligase
Experimental Method:
Predicted structure
Sequence source:
PARABURKHOLDERIA PHYTOFIRMANS (STRAIN DSM 17436 / LMG 22146 / PSJN)

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 B2SX42 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2SX42|SYDND_PARPJ Aspartate--tRNA(Asp/Asn) ligase OS=Paraburkholderia phytofirmans (strain DSM 17436 / LMG 22146 / PsJN) OX=398527 GN=aspS PE=3 SV=1 MSMRSQYCGLVTEELLGQSVSLCGWVSRRRDHGGVIFIDLRDREGLVQVVCDPDRAEMFKAAEGVRNEFCLQIKGVVRGRPEGTTNAALKSGKIEVLCHELIVLNPSITPPFQLDDDNLSETTRLTHRVLDLRRPQMQHNLRLRYRVAIEARKYLDSLGFIDIETPMLTKSTPEGARDYLVPSRTNPGQFFALPQSPQLFKQLLMVANFDRYYQIVKCFRDEDLRADRQPEFTQIDCETSFLSEQEIRDLFEDMIRHVFKETIGVTLDEKFPVMLYSEAMRRFGSDKPDLRVKLEFTDLTDAVRDVDFKVFSTPANTKDGRVAAIRVPKGGELSRGDIDSYTEFVRIYGAKGLAWIKVNEVAKGRDGLQSPIVKNLHDEAVKAIIERTGAQDGDIIFFAADRAKVVNDSLGALRLKIGHSEFGKANGLVETGWKPLWVVDFPMFEYDEEDNRYVAAHHPFTSPKDEHLEYLETDPARCLAKAYDMVLNGWEIGGGSVRIHREEVQSKVFRALKINAEEAQAKFGFLLDALQYGAPPHGGIAFGLDRIVTMMAGADSIRDVIAFPKTQRAQCLLTQAPSEVDERQLRELHIRLRQPEPKV