P0C5P4 AF NFT

Putative uncharacterized protein YKL162C-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihx4k2u65ozm4fg5aqkwcssphkmmjr7mg2uef4xihaqlifkytx3eq/metadata.json
IPFS of structure file: 
bafybeiek3uhl57fhzvrmzfel3uwnat6ugx2g6erqertapmnnvfpmuazzre/AF-P0C5P4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ef77Afb5a3D9F41c95Be3227D1CC986CCb61835
First NFT owner address (bech32): 
genesis1fmmh47668k05rj2muv3868xfsmxtvxp4uykwq9
Current NFT ID #533728 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
533728
Accession (UniProt):
P0C5P4
Name::
Putative uncharacterized protein YKL162C-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 P0C5P4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C5P4|YK162_YEAST Putative uncharacterized protein YKL162C-A OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YKL162C-A PE=5 SV=1 MTLHHKLVLSMLLGLSITPEGDLPLSGQDIFYQYSFSSFYNIHDERIREQ