Q3AUQ0 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidtr2mlnhpqziqsesicxwh3amoazajhold64rvbrvprdatzxpdnai/metadata.json
IPFS of structure file: 
bafybeibej6hlpvwgz6rjaamchzxufhegly5aspvt3puk3oli5oucmasgea/AF-Q3AUQ0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2408F4f0b097Ba15266070a8515c295126130EC7
First NFT owner address (bech32): 
genesis1ysy0fu9sj7ap2fnqwz59zhpf2ynpxrk8ecgsqv
Current NFT ID #319358 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
319358
Accession (UniProt):
Q3AUQ0
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Synechococcus sp. (strain CC9902)

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 Q3AUQ0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3AUQ0|PTH_SYNS9 Peptidyl-tRNA hydrolase OS=Synechococcus sp. (strain CC9902) OX=316279 GN=pth PE=3 SV=1 MMPHQLSLVVGLGNPGSKYDGTRHNIGFMALERLARREGFSFRQQAKLHGLSADKGFGDQRLRLLMPQTFMNDSGRSVRAALDWYGFQPEEIVLLVDDMDLPLGRLRLRAQGSAGGHNGLRSTIQHLGTQVFPRLRIGIGAPAENPAERRARTVSHVLGPFSRAEQPCVDAVLDAVLDGLDRLKTQGMERAGTWINGFRYESPSAT