Q3E7Z0 AF NFT

Uncharacterized protein YNL277W-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiblmjf2hxo3pcz3iqav4xdmz7ucpsucsoxc2qogtmyzucvvm4qgoq/metadata.json
IPFS of structure file: 
bafybeiagxbk4cyd4khgdxwpzsjp4jidtnuvdb3vmqj4cdytwb52derjxey/AF-Q3E7Z0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e17C80A3064A18cE97C3a90e5C69D9a222F548e
First NFT owner address (bech32): 
genesis1tctusz3svjsce6tu82gwt35ang3z74ywa9z6gx
Current NFT ID #534887 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
534887
Accession (UniProt):
Q3E7Z0
Name::
Uncharacterized protein YNL277W-A
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN ATCC 204508 / S288C)

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 Q3E7Z0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3E7Z0|YN227_YEAST Uncharacterized protein YNL277W-A OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YNL277W-A PE=1 SV=1 MTLAYYGQPVKMCHILPPLRSLPVLVGKKKLKKKKSQTTNNHVIFLFTLFIKLLKTHNRMSL