Q9P7J0 AF NFT

Uncharacterized protein C24B10.16c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicsxe2xgqs7sjgra2ky7cum2oswmg5fwvqjpjyhpdmzcvm7snia6a/metadata.json
IPFS of structure file: 
bafybeiba3v7uleh7a5fpzzswzp5sylyhuj5ytsj2u5gb2nqx2tbqsmojo4/AF-Q9P7J0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #533628 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
533628
Accession (UniProt):
Q9P7J0
Name::
Uncharacterized protein C24B10.16c
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 Q9P7J0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9P7J0|YJNG_SCHPO Uncharacterized protein C24B10.16c OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=SPCC24B10.16c PE=4 SV=2 MFQVIQKELDFGNAMIPKVWIQVIKLNPSSSIFVWGSNVSTCPAGDLALSMPGKSDVVTTKLTGAGSIDDLSTQMSRILSKKFQAQVYTSINLQGDFPNDPEVQSVFTQVIRAVIEIIESSKSS