O31924 SPbeta prophage-derived uncharacterized protein YoqN MolNFT, Molecular NFT on GenesisL1

SPbeta prophage-derived uncharacterized protein YoqN

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicmgbg3kqg44hhucivekwzftbnbp5ukuh654ojafvtczgginotnbe/metadata.json

IPFS of structure file:

bafybeiguvp6lis47pdwwqaox5uv7z475xefcqmxdmefv72iegmkezgsoia/AF-O31924-F1-model_v2.pdb

First NFT owner address (eip-55):

0x7A34cB80c9Fe8231CeD9c404461806fEE784901b

First NFT owner address (bech32):

genesis10g6vhqxfl6prrnkecszyvxqxlmncfyqmsr77t2

Current NFT ID #536035 owner (web3):

0xd6bC1C645b7B141A4643641CCE4f692185f8f8FC

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
536035
Accession (UniProt):
O31924
Name::
SPbeta prophage-derived uncharacterized protein YoqN
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 O31924 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O31924|YOQN_BACSU SPbeta prophage-derived uncharacterized protein YoqN OS=Bacillus subtilis (strain 168) OX=224308 GN=yoqN PE=4 SV=1 MVIKRNLLSNHVDEIIGEYYAAKGYSVHSIDRQENGQLIVVTERVAEEKENAKVDIAFDFVHRRPHKKKYLA

O31924 AF NFT

MOLNFT AF v1

NFT data

MOLNFT O31924 research and analysis (ICN3D with VR)

FASTA sequences

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