Q7NPY7 AF NFT

Glutamyl-tRNA(Gln) amidotransferase subunit A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibfexnjqldroglwjzyqpzqw7wbgwdhlilszgln7n7ixxztybvu5wm/metadata.json
IPFS of structure file: 
bafybeibrcg4ruaveoei2iryuh4shs27fxoktobchtwafn4xmrh7tv5iu54/AF-Q7NPY7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5ED9733378E46C361470CA3e501C69CDf9e1E73B
First NFT owner address (bech32): 
genesis1tmvhxvmcu3krv9rsegl9q8rfehu7reemnv2x0s
Current NFT ID #141264 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
141264
Accession (UniProt):
Q7NPY7
Name::
Glutamyl-tRNA(Gln) amidotransferase subunit A
Experimental Method:
Predicted structure
Sequence source:
CHROMOBACTERIUM VIOLACEUM (STRAIN ATCC 12472 / DSM 30191 / JCM 1249 / NBRC 12614 / NCIMB 9131 / NCTC 9757)

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 Q7NPY7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7NPY7|GATA_CHRVO Glutamyl-tRNA(Gln) amidotransferase subunit A OS=Chromobacterium violaceum (strain ATCC 12472 / DSM 30191 / JCM 1249 / NBRC 12614 / NCIMB 9131 / NCTC 9757) OX=243365 GN=gatA PE=3 SV=1 MTQATLKQLSQQLAAKQVSSVELASQYLDRIEALNPQLNAIVTVDREKTLAEARAADARLAAGDARALTGVPLVHKDLFCQQGWKTSCGSRMLDNFVSPYSAHVVEQCAAAGMVTLGRANMDEFAMGSSNENSFYGAVKNPWDLNAIPGGSSGGSAAAVAARLAPVATATDTGGSIRQPASHCGVTGIKPTYGVVSRYGMVAYASSLDQGGPIAQTAEDCALMLNVMAGFDARDSTSLERAKEDYARDLNQSLSGLKVGLPKEYFAAGLDADVARAVDNAVAELKKLGAEAVEISLPNTELSIPAYYVIAPAEASTNLSRYDGVRYGHRAKDYKDLVDMYEKTRAEGFGDEVKRRILVGSYVLSHGYYDAYYLKAQKIRRLIANDFKAAFEQCDVILGPVAPTAAFNIGEKSGDPVQMYLSDIYTLSVNLAGLPGMSVPAGFAANGRPIGLQIIGNYFAEARMLNVAHQFQQATDWHAKAPSL