Q6LNA9 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia44rxqu6mnq5mjlpphukcoifggup2vio45lhqdsf6juv5huk27by/metadata.json
IPFS of structure file: 
bafybeicvwqn2mrg4qpeq4zbdpi22xyxddmpgg2f237uekntvibduo6shvm/AF-Q6LNA9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9E72a6c28d20b2443a44F1c57457a027ddE4fa17
First NFT owner address (bech32): 
genesis1nee2ds5dyzeygwjy78zhg4aqylw7f7sh87h2qv
Current NFT ID #319140 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
319140
Accession (UniProt):
Q6LNA9
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Photobacterium profundum (strain SS9)

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 Q6LNA9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6LNA9|PTH_PHOPR Peptidyl-tRNA hydrolase OS=Photobacterium profundum (strain SS9) OX=298386 GN=pth PE=3 SV=1 MSNNIRLLVGLANPGAEYAKTRHNAGAWVVQELARVHNVSLREESKYFGVTGRITTNGQDLRLLIPTTYMNLSGKSVAALANFFQIKPEEILIAHDELDLPPGVAKFKKGGGHGGHNGLRDTISKMGNNKEFYRLRVGIGHPGDKNKVANFVLGKAPVKEQECIDAAVDEAVRCMDILLKDGLNKAQNRLHSFKAE