Q9YB79 AF NFT

Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigrrljz2xvfd74uaa7yibytvjnuhf5uu4ib3kcdrlcjz57kwzojxa/metadata.json
IPFS of structure file: 
bafybeihi3ttn5lynve4zntnjjrp5kwtfqhasj4mpedei7xyx666suvfmqe/AF-Q9YB79-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcFf9BA0aF3DBABCc89e611059882CCFef4E731f4
First NFT owner address (bech32): 
genesis1elum5zhnmw4uez0xzyze3qkvlm6wwv05hgdmw0
Current NFT ID #141724 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
141724
Accession (UniProt):
Q9YB79
Name::
Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B
Experimental Method:
Predicted structure
Sequence source:
AEROPYRUM PERNIX (STRAIN ATCC 700893 / DSM 11879 / JCM 9820 / NBRC 100138 / K1)

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 Q9YB79 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9YB79|GATB_AERPE Aspartyl/glutamyl-tRNA(Asn/Gln) amidotransferase subunit B OS=Aeropyrum pernix (strain ATCC 700893 / DSM 11879 / JCM 9820 / NBRC 100138 / K1) OX=272557 GN=gatB PE=3 SV=1 MNDRYTNVKIGLEIHVQLSNAGSKLFCGCDSEYRGYKPNTNVCPVCLGLPGALPVPSRRPIVLAIAASMALGCRVPGTVVFTRKHYFYPDLPKNYQITQFEKAGGAPVCMGGVLEYLNTDSWRWERARIRRINLEEDPGKTYYEGSILTSRYALVDYNRSGVPLLEIVTEPDIPSPRHARMLIDYLLLTLEYIGATNPRLEGVFRVDANISIEGGERVEVKNIGSTQDVEKALKFEISRQRLIVERGGKVERETRHWDAERGMTKPLRLKEEEADYLYFPDPDLPPVEITEDMLAEAEKLASKTPGTIYREIESMGVRREIAWSITSTLPAARLFLEAVKLGADPRIAARLVGVDLKGELKEMGKDLYSPNNWPPPQSIAILSNLVARGDYTYDSIKGLVVPKLAANPGSDVKSLLPEKVKDIERLVEEVLNREKRAVQDYLAGKKKALNYLVGQVMRAAKGRALDPRQAREILLRRLSTVKEEDR