Q08912 AF NFT

Uncharacterized protein YOR389W

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibpea3kbkt4qfw7rgzzwsep67p5srztp4xj3jeiggqkr2stj7dc4q/metadata.json
IPFS of structure file: 
bafybeiampwwr6x2klq3xgnoacapoth7ysbf2ja3qc4eov5hine6puoqm3y/AF-Q08912-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x35612D34a32C306CA4fc1edA9360D1F717e25950
First NFT owner address (bech32): 
genesis1x4sj6d9r9scxef8urmdfxcx37ut7yk2swrdlap
Current NFT ID #535493 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
535493
Accession (UniProt):
Q08912
Name::
Uncharacterized protein YOR389W
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 Q08912 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q08912|YO389_YEAST Uncharacterized protein YOR389W OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YOR389W PE=1 SV=1 MRFHRQGTAATVGVLLIVLLGFCWKLSESYGIVSTALPHKQPATKITDTPSIRWDNYHEFVRDIDFDNSTAIFNSIRAALRQSPSDIHPVGVSYFPAVIPKGTLMYHAGSKVPTTFEWLAMDHEFSYSFGLRSPSYGRKSLERRHGRFGNGTHGDHPKGPPPPPPPDEKDRGSQKMLTYRAARDLNKFLYLDGASAAKTDSGEMDTQLMLSNVIKEKLNLTDDGENERMAERLYAARICKWGKPFGLDGIIRVEVGFEVVLCDFSADNVELVSMLEMVQPNQYLGLPAPTVISKEEGWPLDENGNLVEDQLTDDQKAILEREDGWEKTFSNFNAVKSFNQLRAGTAHDNGEHRIHIDYRYLVSGINRTYIAPDPNNRRLLDEGMTWEKQLDMVDDLEKALEVGFDATQSMDWQLAFDELVLKFAPLLKSVSNILNSNGDINESIAINATALTLNFCLRFEPASNNSDEFGSGKDFAVYQYVSPYQALKTDADFLIWSSAVSVVGEIVDAIYKVNDLLIPEVYSFMTDNTTSSDLIKNVETARSTIDGLIESLGWIELNYRCERQCNWDEVCYTPSWGPSPMGMTEPGSHNEGFGTHFDESRQRLVINSKLQCININDLMVNRNH