A5V3V0 AF NFT

Glutamyl-tRNA(Gln) amidotransferase subunit A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif2hybb54ics7yugmuh4bphlhi5ant7lyzxek6guc2ptxraalqimy/metadata.json
IPFS of structure file: 
bafybeibh7fq76xdc7ueuldnosoyujhy7fd2furhv3tlswocrqzhjtrz37m/AF-A5V3V0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F
First NFT owner address (bech32): 
genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3
Current NFT ID #141554 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
141554
Accession (UniProt):
A5V3V0
Name::
Glutamyl-tRNA(Gln) amidotransferase subunit A
Experimental Method:
Predicted structure
Sequence source:
Rhizorhabdus wittichii (strain DSM 6014 / CCUG 31198 / JCM 15750 / NBRC 105917 / EY 4224 / RW1)

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 A5V3V0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5V3V0|GATA_RHIWR Glutamyl-tRNA(Gln) amidotransferase subunit A OS=Rhizorhabdus wittichii (strain DSM 6014 / CCUG 31198 / JCM 15750 / NBRC 105917 / EY 4224 / RW1) OX=392499 GN=gatA PE=3 SV=1 MTAITDLGLAGLRDGFRAGDFSAREIADAFNGAVAGAKALNAFIIETPDHATAAAEAADRARAAGELLPLSGVPLGIKDLFCTAGHQTTAASHMLGGFTPTYESTVTGKLFAAGAGMLGKLNLDQFAMGSSNETSAYGNVVSPWRRNDGGNAPLAPGGSSGGSSSAIAARIVPAATGTDTGGSIRQPAAFTGIAGIKPTYGRCSRFGIVAFASSLDQAGAMAQDVRDSAILLEAMSGFDPKDSTSLDVAVPKWEANLSSDLKGKKVGIPKEYRVDNMPAEIDALWRQGIEWLRDAGAEIVDVSLPHTRYALPTYYIIAPAEASSNLARYDGVRYGLRDLPEGANLQEMYAATRAAGFGPEVKRRILIGTYVLSAGYYDAYYTKAQKVRALIARDFEEAFRQVDVLLTPTAPSAAFALGEKSADPLEMYLNDVFTVPASLAGVPAMSVPAGLDGQGLPLGLQIIGRPLDEQGVLNAGLAIEQRAGFTAKPQNWWAK