Q9ZMP2 AF NFT

Uncharacterized protein jhp_0176

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiggjxcexyloxwaplkqgpwlixvt3m32oszxbpvwszub5vo353nuypy/metadata.json
IPFS of structure file: 
bafybeibajgiggzdqq5kqa3jxy4cy45ou3jfueulfakh3fctkfqympvrgbi/AF-Q9ZMP2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3298b100681D3A2372Bba3b2f282750dD71629B9
First NFT owner address (bech32): 
genesis1x2vtzqrgr5azxu4m5we09qn4pht3v2de5478nd
Current NFT ID #509973 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
509973
Accession (UniProt):
Q9ZMP2
Name::
Uncharacterized protein jhp_0176
Experimental Method:
Predicted structure
Sequence source:
HELICOBACTER PYLORI (STRAIN J99 / ATCC 700824)

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 Q9ZMP2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZMP2|Y190_HELPJ Uncharacterized protein jhp_0176 OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=jhp_0176 PE=3 SV=1 MKIFLVILSVFFFNGCFGLAYKTPISNPPISYDPYTTTIGSLYAKNLKENPKHSAAILLEDGFDALLHRVGLIRMSQKSIDMQTYIYKNDLSSQVIAKELLNAANRGVKVRILLDDNGLDSDFSDIMLLNFHKNIEVKIFNPYYIRNKGLRYFEMLADYERIKKRMHNKLFIVDNFAVIIGGRNIGDNYFDNDLDTNFLDLDALFFGGVASKAKESFENYWRFHRSIPVSLLRTHKRLKNNVKEIAKLHEKIPISAEDANEFEKKVNDFIERFQKYQYPIYYGNAIFLADLPAKIDTPLYSPIKIAFEKALKNAKDSVFIASSYFIPGKKIMKIFKNQISKGIELNILTNSLSSTDAIVVYGAWERYRNKLVRMGANVYEIRNDFFNRQIKGRFSTKHSLHGKTIVFDDALTLLGSFNIDPRSAYINTESAVLFDNPSFAKRVRLSLKDHAQQSWHLVLYRHRVIWEATEEGILIHEKNSPDTSFFLRLIKEWSKVLPEREL