Q64P24 AF NFT

Asparagine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifkegrlg2ok4kwhpocn2kge46wz23hkl4uf2wgqzl4bnpwxqhbahu/metadata.json
IPFS of structure file: 
bafybeibcukedygk3ypkl5trmp2u5fjl7ntlcln4dwogar4qsioab4cx4ey/AF-Q64P24-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBeF036C04BE8b62aF43C82A9ec62223aAa892154
First NFT owner address (bech32): 
genesis1hmcrdsztazmz4apus257cc3z824gjg258k4s7r
Current NFT ID #451160 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
451160
Accession (UniProt):
Q64P24
Name::
Asparagine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Bacteroides fragilis (strain YCH46)

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 Q64P24 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q64P24|SYN_BACFR Asparagine--tRNA ligase OS=Bacteroides fragilis (strain YCH46) OX=295405 GN=asnS PE=3 SV=1 MEKISRTKIVDLMKREDFGAMVNVKGWVRTRRGSKQVNFIALNDGSTINNVQVVVDLANFDEEMLKQITTGACLSVNGVLTESVGAGQKAEVQAREIEVLGTCDNTYPLQKKGHSMEFLREIAHLRPRTNTFGAVFRIRHNMAIAIHKFFHEKGFFYFHTPIITASDCEGAGQMFQVTTMNLYDLKKDENGSIVYDDDFFGKQASLTVSGQLEGELAATALGAIYTFGPTFRAENSNTPRHLAEFWMIEPEVAFNEIQENMDLAEEFIKYCVRWALDNCADDVKFLNDMFDKGLIERLEGVLKEDFVRLPYTEGIKILEEAVAKGHKFEFPVYWGVDLASEHERYLVEDHFKRPVILTDYPKEIKAFYMKQNEDGKTVRAMDVLFPKIGEIIGGSERESDYNKLMMRIEEMHIPMKDMWWYLDTRKFGTCPHSGFGLGFERLLLFVTGMSNIRDVIPFPRTPRNADF