P0C5Q7 AF NFT

Putative uncharacterized protein YNR001W-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihapza5ndaft44nfjvxaoafxjkfnfijykmcfx3jdfzb4pp3dlzneu/metadata.json
IPFS of structure file: 
bafybeiftwqlkozki6qzn3jq2xmprbdj32puucwzto5twhv76i4g7k3q4fa/AF-P0C5Q7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #534865 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
534865
Accession (UniProt):
P0C5Q7
Name::
Putative uncharacterized protein YNR001W-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 P0C5Q7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C5Q7|YN001_YEAST Putative uncharacterized protein YNR001W-A OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=YNR001W-A PE=5 SV=1 MDGYQLTFSNNKRSDKSIVSEKLQRDCDPPITQKYFWSSGGHTFHFRAAAAEKNVTPFSTKMQGKYIKKKAM