C0NYZ7 AF NFT

Glutamyl-tRNA(Gln) amidotransferase subunit A, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibr2fn72jcklsnurz4smfgpn254kucacjvnq6serlygvs7qbsbena/metadata.json
IPFS of structure file: 
bafybeidrezfolfplgnzztnlj4thcrosyf775hezh6um66jt22jeihqmexa/AF-C0NYZ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA89f05e8B410d903A7A962FDDa2fC551E1DB84C9
First NFT owner address (bech32): 
genesis14z0st695zrvs8fafvt7a5t7928sahpxfv2e79u
Current NFT ID #141122 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
141122
Accession (UniProt):
C0NYZ7
Name::
Glutamyl-tRNA(Gln) amidotransferase subunit A, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
Ajellomyces capsulatus (strain G186AR / H82 / ATCC MYA-2454 / RMSCC 2432)

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 C0NYZ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C0NYZ7|GATA_AJECG Glutamyl-tRNA(Gln) amidotransferase subunit A, mitochondrial OS=Ajellomyces capsulatus (strain G186AR / H82 / ATCC MYA-2454 / RMSCC 2432) OX=447093 GN=HCBG_08377 PE=3 SV=1 MSLLREAEKCLANQKTYASLNAFITPLQRAGPWRDRVRDSDTRRERGVTKSPLDGKLVAIKDNICTRDMPTTCASRILDTYTSPFNATVVESLEKSGAIIAGKTNLDEFGMGSHSMHSHFGPVKNVTESRREPISPGGSSGGSAVAVATGQCYAALGTDTGGSVRLPAAYTGTVGFKPSYGHVSRWGVVAYANSLDTVGVLGSSISTIREVYKTINHPDLHDPTNLPPATRTRLTAAVHNSSTTRSSPSPYLRIGIPTEYNIHELSPTVRTAWQRSIVHLQRMGHTILPVSLPATKHALAAYYVLAPAEASSNLARYDGVRYGTRDTDAPDDAEPGGYLYASSRGKGLGSEVKRRILLGAFSLSADAIDNYFLQAQRVRRLVQADFERVFRVKNPLLPAVDVDADVDGRDKKQIAGDNAGVDVLVVPTAPTLPPTVESLKRASTVETYMNDIFTVPASLAGLPALSVPVQMRGLSTVGDGDESKGDGADAAFGSVGIQAIGQFGDDEMVLHVGEMLEGMHG