B4E7X6 AF NFT

Glutamyl-tRNA(Gln) amidotransferase subunit A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifdhcvnz2p66arwz6yy2zbhdld4ajssdpdbvnd7j77bz7xiwzxjta/metadata.json
IPFS of structure file: 
bafybeiazf3lmz7f4rrmrgqi6nwtys3bqwpqzwvsy76spgw66hp5b34wnve/AF-B4E7X6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xfEFC4162A0D2196abE0a0A681857dF0e98778b9C
First NFT owner address (bech32): 
genesis1lm7yzc4q6gvk40s2pf5ps47lp6v80zuurke733
Current NFT ID #141204 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
141204
Accession (UniProt):
B4E7X6
Name::
Glutamyl-tRNA(Gln) amidotransferase subunit A
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA CENOCEPACIA (STRAIN ATCC BAA-245 / DSM 16553 / LMG 16656 / NCTC 13227 / J2315 / CF5610)

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 B4E7X6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4E7X6|GATA_BURCJ Glutamyl-tRNA(Gln) amidotransferase subunit A OS=Burkholderia cenocepacia (strain ATCC BAA-245 / DSM 16553 / LMG 16656 / NCTC 13227 / J2315 / CF5610) OX=216591 GN=gatA PE=3 SV=1 MHAKSLTELRAALAAKECSAVELAQHYLKRIDAARDLNAFVHVDADLTLAQAKAADAELARGAGGALTGLPIAHKDVFVTRGWRSTAGSKMLANYESPFDATVVARLQAAGMVTLGKTNMDEFAMGSSNENSAFGAVKNPWDTNAVPGGSSGGSSAAVAARLAPAATGTDTGGSIRQPASFAGVTGIKPTYGRVSRYGMIAFASSLDQGGPMAQSASDCALLLNAMAGFDERDSTSLERDDEDFTRHLGQPWAAGNDAGKPLAGLRIGLPNEYFGAGLADDVRATIDAALKQYEALGATLVPVSLPKTELSIPVYYVIAPAEASSNLSRFDGVRFGHRAAQYGDLLDMYKKSRAEGFGPEVKRRILVGTYVLSHGYYDAYYLQAQKIRRIIANDFQEAFKSCDVIMGPASPTVAWDLGAKGDDPVQMYLADIYTLSVSLAGLPGMSVPCGFGAGANAQRPVGLQIIGNYFNEARMLQVADAFQRATDWHKQVPAGV