B1ZFX6 AF NFT

Aspartate--tRNA(Asp/Asn) ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifwrvhe3uips3birjet33y524pr7ucuufqklawml45fotq2cuzewu/metadata.json
IPFS of structure file: 
bafybeidpvby5pnsg37diqsuisw3p3s46qgtqyhu3yq34ypfvu4qk4pxsua/AF-B1ZFX6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE614C9089c3d6E39A821Ec2432f7463B62542295
First NFT owner address (bech32): 
genesis1uc2vjzyu84hrn2ppasjr9a6x8d39gg54wsly85
Current NFT ID #444633 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
444633
Accession (UniProt):
B1ZFX6
Name::
Aspartate--tRNA(Asp/Asn) ligase
Experimental Method:
Predicted structure
Sequence source:
Methylorubrum populi (strain ATCC BAA-705 / NCIMB 13946 / BJ001)

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 B1ZFX6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1ZFX6|SYDND_METPB Aspartate--tRNA(Asp/Asn) ligase OS=Methylorubrum populi (strain ATCC BAA-705 / NCIMB 13946 / BJ001) OX=441620 GN=aspS PE=3 SV=1 MHRYRTHTCGALRPSDVGQTVRLSGWCHRIRDHGGVLFIDLRDHYGLTQCVIDSDSPAFKAAETARSEWVIRIDGRVRTRPAGTENAELPTGSVEVYIDDLEVLGPAGELPLPVFGDQEYPEETRLKYRFLDLRREKLHANIMKRGAIIDSLRRRMREGGFFEFQTPILTASSPEGARDYLVPSRVHPGKFYALPQAPQQFKQLTMIAGFDRYFQIAPCFRDEDARADRSPGEFYQLDIEMSFVTQEDVFQAVEPVLRGVFEEFANGKRVTKEFPRITYADAMLKYGVDKPDLRNPLIIADVTDEFADDAVEFKAFKGVIKSGGVVRAIPATGAAGQPRSFFDKLNDWARSEGAPGLGYIVFEEEGGALTGKGPIAKFIPPEIQARIAQKAGAKAGDAVFFAAGTEAKAAALAGKARIRIGDELKLSDTDQFAFCWVVDFPMYEWNEEDKKIDFSHNPFSMPNYDRDAFLALGEEDAEKILGIKAFQYDIVCNGIELSSGAIRNHRPDVMEKAFAIAGYGRDVLEEKFGGMLNALRLGAPPHGGIAPGVDRIVMLLCEEPNIREVVLFPMNQRAEDLMMGAPAEATPKQLRELHIRLNLPEKKG