P0ADL3 AF NFT

Uncharacterized protein YicN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihyuemnwd3ehnvkvilc5zxhtnddvnghhdhsr7zshik65zpkfckw74/metadata.json
IPFS of structure file: 
bafybeid5z6mrzwdhjkwv2bnm22xfs76jxdhn5h3mjpaxk2qfvm2akiptvu/AF-P0ADL3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3C8340d0a867aE99943D11461e905F0d1C49C9ad
First NFT owner address (bech32): 
genesis18jp5p59gv7hfn9paz9rpayzlp5wynjddtl3cr3
Current NFT ID #531648 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
531648
Accession (UniProt):
P0ADL3
Name::
Uncharacterized protein YicN
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI (STRAIN K12)

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 P0ADL3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0ADL3|YICN_ECOLI Uncharacterized protein YicN OS=Escherichia coli (strain K12) OX=83333 GN=yicN PE=4 SV=2 MIWIMLATLAVVFVVGFRVLTSGARKAIRRLSDRLNIDVVPVESMVDQMGKSAGDEFLRYLHRPDESHLQNAAQVLLIWQIVIVDGSEQNLLQWHRILQKARLAAPITDAQVRLALGFLRETEPEMQDINAFQMRYNAFFQPAEGVHWLH