Q9PR67 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaxyqg7xoxwv5izqafmn56ovvugynyjkxvasgf3qy2hhu4qstilty/metadata.json
IPFS of structure file: 
bafybeiac4kjcgfjhupuibqb3oou7dybudw2xeqymvbnpiqoi4a74qnmatq/AF-Q9PR67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE63d721Ad9B1660e8d03c7C92c3F8d8349400985
First NFT owner address (bech32): 
genesis1uc7hyxkek9nqargrclyjc0udsdy5qzv9h9cg46
Current NFT ID #319390 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
319390
Accession (UniProt):
Q9PR67
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Ureaplasma parvum serovar 3 (strain ATCC 700970)

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 Q9PR67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PR67|PTH_UREPA Peptidyl-tRNA hydrolase OS=Ureaplasma parvum serovar 3 (strain ATCC 700970) OX=273119 GN=pth PE=3 SV=1 MEKYLIVGLGNPGSNYAKTRHNVGFMVINEICNKLNLSLDSSKFNGIFTKTIYNNSIVFFCQPTTYMNLSGEFVIKMLNFYNIPIKNLIVIYDDVDTKLGTIKLRKKGSSGGQNGIKNIINILKTDEIKRIRIGIDKDPHIKLDQYVLSNFKIDELVIIKPAIIKGALATLAAIGEDFDKVMNKFN