Q9C109 AF NFT

Uncharacterized protein P27G11.16

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaqt7o2fcskff63cuvpj4cna7uhkg6jz4i74br2ohcoy2fg24enyy/metadata.json
IPFS of structure file: 
bafybeicoemmj7ufwnusklz64mnkhma5wl5skqn4u7kbdloigovzxoapyam/AF-Q9C109-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #533017 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
533017
Accession (UniProt):
Q9C109
Name::
Uncharacterized protein P27G11.16
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 Q9C109 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9C109|YIOG_SCHPO Uncharacterized protein P27G11.16 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=SPAP27G11.16 PE=4 SV=1 MGSCLRFFKQGAILHENNTNFTERSSSVFFECNPCYSIEKLKSNRILIAVRLFSFAFSSFSTTLRILRDFIIAASKCEFEKIWSTTFSISFLSFNFKSSESPSL