Q3E732 AF NFT

Putative uncharacterized protein YLR264C-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4oikvpqweqbasn57sfmlcqmnzzbkfvgnntwxdpqcflgvg7y2pta/metadata.json
IPFS of structure file: 
bafybeic2mzkos5ppihzaycrsc765c3fznj6louawqncrlq75eld7qbf74m/AF-Q3E732-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC454Ee1D7BbEeEfB51BeDA473EEF401822a07027
First NFT owner address (bech32): 
genesis1c32wu8tmhmh0k5d7mfrnam6qrq32qup8fpz3ru
Current NFT ID #534146 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
534146
Accession (UniProt):
Q3E732
Name::
Putative uncharacterized protein YLR264C-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 Q3E732 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3E732|YL264_YEAST Putative uncharacterized protein YLR264C-A OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YLR264C-A PE=4 SV=1 MNVIFKLYLTIDAPKKKKVTVRDFLSIRYSMPYRLASN