P0CE97 AF NFT

Putative uncharacterized protein YLR159W

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieafyubuf7kbm4lnj5ilbgecjbnu36xox6334qdzmjiiqfxel5hyy/metadata.json
IPFS of structure file: 
bafybeifo6p4xl7vz4snppzbkz354oayxv6qrkzgu3h3tx6q7i3fdvvkr7u/AF-P0CE97-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #534225 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
534225
Accession (UniProt):
P0CE97
Name::
Putative uncharacterized protein YLR159W
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 P0CE97 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CE97|YL59W_YEAST Putative uncharacterized protein YLR159W OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YLR159W PE=4 SV=1 MKFQYALAKEQLGSNSRSGVKKLISKHHWLPEYYFSDLSFSVVQQWDSRAIEKTTIISCMRPANQEIYPLRHCETLRSQPCSLFSSLYARSFQSSCTLHVAEPSPGFHMYGCHT