P0CX95 AF NFT

UPF0479 membrane protein YEL077W-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeictrsjj3zyofrqvwgkoycoked7awbqjrpaheefhnzdd6tsete4yji/metadata.json
IPFS of structure file: 
bafybeif7n7nwmjddwvk5qjb5mz2htywn76jqopnchr3yxhmt6iwzg2htae/AF-P0CX95-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #528805 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
528805
Accession (UniProt):
P0CX95
Name::
UPF0479 membrane protein YEL077W-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 P0CX95 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CX95|YE07A_YEAST UPF0479 membrane protein YEL077W-A OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YEL077W-A PE=3 SV=1 MMPAKLQLDVLRTLQSSARHGTQTLKNSNFLERFHKDRIVFCLPFFPALFFVPVQKVLQHLCLRFTQVAPYFIIQLFDLPSRHAENLAPLLASCRIQYTNCFSSSSNGQVPSIISLYLRVDLSPFYAKIFQISYRVPMIWLDVFQVFFVFLVISQHSLHS