Q2RPH4 AF NFT

Glutamyl-tRNA(Gln) amidotransferase subunit A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif5juufklcsvyz6bytpm5iu5cveppl6c3i5rd6hlehzptr5oukmiq/metadata.json
IPFS of structure file: 
bafybeihvacaw72e5d4cyqyc3be45dkbrvxsen6jx5qx2vrzsxnyb2w3xcq/AF-Q2RPH4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB40AA7C27d628874C1f2620446785F8B176081EC
First NFT owner address (bech32): 
genesis1ks920snav2y8fs0jvgzyv7zl3vtkpq0vawp7pj
Current NFT ID #141565 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
141565
Accession (UniProt):
Q2RPH4
Name::
Glutamyl-tRNA(Gln) amidotransferase subunit A
Experimental Method:
Predicted structure
Sequence source:
RHODOSPIRILLUM RUBRUM (STRAIN ATCC 11170 / ATH 1.1.1 / DSM 467 / LMG 4362 / NCIMB 8255 / S1)

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 Q2RPH4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2RPH4|GATA_RHORT Glutamyl-tRNA(Gln) amidotransferase subunit A OS=Rhodospirillum rubrum (strain ATCC 11170 / ATH 1.1.1 / DSM 467 / LMG 4362 / NCIMB 8255 / S1) OX=269796 GN=gatA PE=3 SV=1 MTNATTLTDLTIAEARDAMAKGAFTPLELTNAHLARMEAGRGLNAFITETPDLARMQAERSGERLRAGKAGPMEGIPIGIKDLFCTEGVRTTAGSKILDGFVPPYESTVSANLAKAGAVMLGKTNLDEFAMGSSNKTSASGPVINPWTRTDDDEQLVPGGSSGGSAAAVAGRLAMAATGTDTGGSIRQPAAFCGLVGLKPTYGRCSRWGVVAFASSLDQAGPMTRTVRDAAIMLKAMAGHDPMDGTSAPVEVPNFEAVLSGDIRGLRVGLPRQYRPEGLDPEIAALWDRGAEMLKDAGATLVEVDLPHTKYALATYYIVAPAEASSNLARYDGVRYGLRVPGETLDEMYCKTRAAGFGEEVRRRVLIGTYALSAGYYDAYYLKAQKVRALIAQDFKTAFETVDVLLTPTTPSAAFGLNETIDDPITMYLNDVFTVPTSLAGLPGLSVPVGLSSRGLPLGLQLVGRYFDEETVLNAGLALERASAFTQKPAFLTGALEGQI