Q7NX86 AF NFT

Glutamine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiciqdwn6b3qmw5wpttlxp2ayfbwqlomjoa6tlgpwoq2j7p7xc2yqu/metadata.json
IPFS of structure file: 
bafybeia6g7reumfdexll2ixhjruo5pofuxpeygxhnz7nj7g6f4qtcxtyc4/AF-Q7NX86-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #452287 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
452287
Accession (UniProt):
Q7NX86
Name::
Glutamine--tRNA ligase
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 Q7NX86 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7NX86|SYQ_CHRVO Glutamine--tRNA ligase OS=Chromobacterium violaceum (strain ATCC 12472 / DSM 30191 / JCM 1249 / NBRC 12614 / NCIMB 9131 / NCTC 9757) OX=243365 GN=glnS PE=3 SV=1 MSTENNAPVVNNFIRSIIDEDLATGRRSSVVTRFPPEPNGFAHIGHAKAICINFGLAEDYNGQCNLRMDDTNPEKESDEFVEAFKQDISWLGFKWNGEVRYASDYFDRLYDYAVELIQAGKAYVDDLSAEEMRQYRGNLTEPGKNSPYRDRTPEENLDLFTRMKNGEFPDGSKTLRLKIDMASGNINLRDPAIYRIRRVHHHRTGDKWCIYPMYDYTHCISDAIEGITHSLCSLEFEDHRPLYDWVLDNISIEHHPQQIEFSRLELLYALTSKRKLQALVNDGAVTGWDDPRMPTIAGMRRRGYSPAGIKLFAQRIGVSKSENIIDMAILEGAVRETLENDSPRVMAVVNPLKVTLTNYDAAVTASRSAPFHPHHPEFGERDVPIAREIWIERDDFAETPPPKWQRLTAGGEVRLRYSYVIKCDEVVKDAADEIVELKCSIDHDTLGKNPEGRKVKGVIHWVSAEHAIQADVRWYERLFTEQRPDAVRGEDGEYVDFRQFLNPESLKLVPAYVEASVLQAEPESRFQFERLGYFVTDRYEHRKGDKAVFNRTVGLKDSWK