P0ADJ2 AF NFT

Uncharacterized membrane protein YhhN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig2akokbw5jpgbfquiftsjhskqezh2i3x5ytbvuy6d7w34jhknrdq/metadata.json
IPFS of structure file: 
bafybeihmkorbeml6ncz7ic2473aj2j5qe6y4523t27u6twqfbbq5qipwx4/AF-P0ADJ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #531298 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
531298
Accession (UniProt):
P0ADJ2
Name::
Uncharacterized membrane protein YhhN
Experimental Method:
Predicted structure
Sequence source:
SHIGELLA FLEXNERI

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 P0ADJ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0ADJ2|YHHN_SHIFL Uncharacterized membrane protein YhhN OS=Shigella flexneri OX=623 GN=yhhN PE=3 SV=1 MLWSFIAVCLSAWLSVDASYRGPTWQRWVFKPLTLLLLLLLAWQAPMFDAISYLVLAGLCASLLGDALTLLPRQRLMYAIGAFFLSHLLYTIYFASQMTLSFFWPLPLVLLVLGALLLAIIWTRLEEYRWPICTFIGMTLVMVWLAGELWFFRPTAPALSAFVGASLLFISNFVWLGSHYRRRFRADNAIAAACYFAGHFLIVRSLYL