Q9PR32 AF NFT | MOLNFT bioinformatics, blockchain

Uncharacterized protein UU112

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeierwlrmgi3mngrv3i23ouexxqgvmqziaghxvbo4tjes7aoncssuwe/metadata.json

IPFS of structure file:

bafybeidsonxw63ye7uqabyefb75o34fh2er6yrwtfmwy2ltvmhm73ebrte/AF-Q9PR32-F1-model_v2.pdb

First NFT owner address (eip-55):

0x79a905d858Ce72991FD6E7a9C6498620f42E146D

First NFT owner address (bech32):

genesis10x5stkzceeefj87ku75uvjvxyr6zu9rds9d8xj

Current NFT ID #504535 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
504535
Accession (UniProt):
Q9PR32
Name::
Uncharacterized protein UU112
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 Q9PR32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PR32|Y112_UREPA Uncharacterized protein UU112 OS=Ureaplasma parvum serovar 3 (strain ATCC 700970) OX=273119 GN=UU112 PE=4 SV=1 MKICDNISEINDDQDLVFIDIEATDSKGEQRIIQFSGYRLNIKKNKIFNFNKKFNPEQEINSRIKTLLNFNKNFNNIEQMPKLDKQAAREIYCFVKNAIVITFTDFDIKKMHELFTYYNFDFEKIVYFDVYKFFEKKLQTKSVPSLFSLGILSGIKINFFKLHNALYDAFILKEIFMCIRHKTNEELYEMYRYYEFLPKIISSSYFVTNEQEKNRGIIKKEIKYVMYIKEFDFSNKFNLDFVVYKKDHHFYSKPIYDSSLELQTISSLTSKSNFMKVKLANIFFNYLSKSAVFSIKKLSIKQSEKFLKFYKTQTNKRKVIKVLNLNLKKEIKPENFVIKAQIICEILFKNPIIHHFVHEYLKIFQNIFSQEEKDN