Q9C0V2 AF NFT

Putative uncharacterized protein C576.19c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibdertffd5ao574q6j4snhpu26cinjnzeuiprsqlh7wou2wpdqjlq/metadata.json
IPFS of structure file: 
bafybeibj7rru2pw2v6wo2m4chwp3awtj27ibgfjxwaftypoqbfzsff44uy/AF-Q9C0V2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaa53776A41fB2e67da75A96E8a53746b6874aAB4
First NFT owner address (bech32): 
genesis14ffhw6jplvhx0kn449hg55m5dd58f245h56u30
Current NFT ID #536953 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
536953
Accession (UniProt):
Q9C0V2
Name::
Putative uncharacterized protein C576.19c
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

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 Q9C0V2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9C0V2|YQEJ_SCHPO Putative uncharacterized protein C576.19c OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=SPCC576.19c PE=4 SV=1 MPTSSNDLYQTRLDVQTPNRWFLYISLELFNNMYSPFRSSSVLLSGAQSDIPKVGKCLFLPCRSLEFRASANSLSVHFLLNVISAILSMLIERYAVEVIMSKITWPRSNEDWRFHGIKG