Q1CJK8 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicupsldgd57bfndnt25m5p23zz6rwsxo3nxkvaopvoreje6fk3faa/metadata.json
IPFS of structure file: 
bafybeihngw7ytk5vroptkk5stquqpfpt7gbis43tmzbul2vl4h7isw6tqi/AF-Q1CJK8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xab9043322A71a81ea610290ba422DBfFACaFffDf
First NFT owner address (bech32): 
genesis14wgyxv32wx5pafss9y96ggkml7k2ll7lxk5hnh
Current NFT ID #319424 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
319424
Accession (UniProt):
Q1CJK8
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Nepal516)

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 Q1CJK8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CJK8|PTH_YERPN Peptidyl-tRNA hydrolase OS=Yersinia pestis bv. Antiqua (strain Nepal516) OX=377628 GN=pth PE=3 SV=2 MSSIKLIVGLANPGAEYAQTRHNAGAWYVDLLAERHNQSLKEESKFFGYTARLNLAGQDIRLLVPATFMNLSGKAVAAMASFYRILPEEILVAHDELDILPGMAKLKLGGGNGGHNGLKDIQNKLGNNPNFYRLRIGIGHPGDKSKVTGFVLGKPPASEQTLIDDAIDESIRCTEVLLNEGMTKAMNRLHAFKASA