P64383 AF NFT

Uncharacterized HIT-like protein jhp_0977

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibam6x7pyxb73vxwbgbzetkjjcj5yz4xihtewhnpsgoxmgx7jsz7u/metadata.json
IPFS of structure file: 
bafybeid4sm2km2chynptif6f2je4el34kppwv4r2yusc5j5jfrfzxr7ppq/AF-P64383-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe536366a17502E52D45b77a13a711573b638393F
First NFT owner address (bech32): 
genesis1u5mrv6sh2qh994zmw7sn5ug4wwmrswflpuvcxk
Current NFT ID #531342 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
531342
Accession (UniProt):
P64383
Name::
Uncharacterized HIT-like protein jhp_0977
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 P64383 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P64383|YHIT_HELPJ Uncharacterized HIT-like protein jhp_0977 OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=jhp_0977 PE=4 SV=1 MNVFEKIIQGEIPCSKILENERFLSFYDINPKAKVHALVIPKQSIQDFNGITPELMAQMTSFIFEVVEKLGIKEKGYKLLTNVGKNAGQEVMHLHFHILSGDKH