P40497 AF NFT

Uncharacterized protein YIL092W

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihq3sgmbi4h4fk3yfljbslhijrrm52le6qbmasekncppuw2h3uaky/metadata.json
IPFS of structure file: 
bafybeif34uemlppdyqjr6impm5ikyu5mejqqumkajn25w7ywx2p7nzxkyq/AF-P40497-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcE985276B7A1eF567A9F5D92f287fE5d84EBE880
First NFT owner address (bech32): 
genesis1e6v9ya4h58h4v75ltkf09pl7tkzwh6yqag8gxj
Current NFT ID #532972 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532972
Accession (UniProt):
P40497
Name::
Uncharacterized protein YIL092W
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 P40497 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P40497|YIJ2_YEAST Uncharacterized protein YIL092W OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YIL092W PE=1 SV=1 MVQMRSKNMAYESGTNNYSDTIANGNTLPPRSKKGHSGRRKRSETLPIACNNFCVTRQIDDDEQAFKMLDKVSHLKKFSAEDGDDNNIFVQWADDITDILFGLCCTGTFLKLLISSALSGRAKTWFDSTTEGIDDHVIKAYSFEKFLALLSEEFDGARSLRREIFTELLTLSIDSEKSLEAFAHKSGRLTPYYLSSGAALDLFLTKLEPQLQKQLENCAFPMTLNLALLITACEFAKRASNHKKYRYKNTRDSDICTPKSKNTAIVSKLSNTKTISKNKVIEKSDKKNYFDKNSQHIPDPKRRKQNEPGMRLFLVMDEEKNILTSRNVSANAYTSKNGHTNLSDLHTNLKNSKSQQCAVEPISILNSGSLVTGTINIDLINDEVLGTKEETTTYDERMDGNSRSLNERCCAVKKNSLQPITSNIFQKNAEIQGTKIGSVLDSGISNSFSSTEYMFPPTSSATVSNPVKKNEISKSSQVKDIAQFNPFMTNEKEKKLNPSESFKSPGVSMEINRLSRIAGLRNIPGNIYEDSKMLNLKTRKCYPLHNFAVRTRSAHFNDRPSNYISPHETINATLRSPASFDSIQCITRSKRVDAETNKATGSAKSENIETKSRKFPEVINPFLVNTTNKKESD