Q54ZD0 AF NFT

Probable peptidyl-tRNA hydrolase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifkuprztsxokecabsid3tssazjufaotx3ppps26ykccayoawcjfqy/metadata.json
IPFS of structure file: 
bafybeigjllbkh3jc4s3rllivli4djydumro6sknmrfrfeb2m5ls5c5r3qu/AF-Q54ZD0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1f017c069141048125D6750ba3Cef818EC174268
First NFT owner address (bech32): 
genesis1ruqhcp53gyzgzfwkw5968nhcrrkpwsng7ryy4h
Current NFT ID #318571 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318571
Accession (UniProt):
Q54ZD0
Name::
Probable peptidyl-tRNA hydrolase 2
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54ZD0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54ZD0|PTH2_DICDI Probable peptidyl-tRNA hydrolase 2 OS=Dictyostelium discoideum OX=44689 GN=pth2 PE=3 SV=1 MQLNKDILLVSIISLFSGVLLGYFQAKCFKRSTITKNKEEVEQIKEIENNNQKEKEKEEKEGDDDDDDDDESESIDGDYDENDDYEIEYDEEIGDCKQVLVIRTDLGMTKGKIIAQCCHASLGARQKALKDSKKVLRQWENFGCAKITLKANSKEELVDLRNKAKELGVVSYLVLDSGHTQIPSGSATVLAVGPAPKEAVDAVTKHLKLY