O74308 AF NFT

Uncharacterized transcriptional regulatory protein C15D4.02

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidveuhy7vatfi32maag2xyzaq4ukbnxr5otoc7ulzekhdjlgh5xny/metadata.json
IPFS of structure file: 
bafybeicii5we7nqdxa75hd4gqd4slbrn43kbxqigoaqzx6vlxjmge4fsau/AF-O74308-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x10976aA9a718867259a9A0Be5536d8EC9ad77d0E
First NFT owner address (bech32): 
genesis1zztk42d8rzr8ykdf5zl92dkcajddwlgwygcd0c
Current NFT ID #535766 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
535766
Accession (UniProt):
O74308
Name::
Uncharacterized transcriptional regulatory protein C15D4.02
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 O74308 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O74308|YOG2_SCHPO Uncharacterized transcriptional regulatory protein C15D4.02 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=SPBC15D4.02 PE=3 SV=3 MEYHPSSQSPQVNPGMESQQGGYTYTYQQPAPPNSLHLQHPSILTRLPPLSSSVVSPSLASLPPFTPTSTYHSIAALTPPSYPQSSSAPSNNSYTIVPSPHDPSNAYSMHHVLQNTAPQSVPSPSPIEMVPPSPPKTGSNNSAPVTGKTVQSGNALNNSGLVKRQARKRTKTGCLTCRKRRIKCDERKPICYNCIKSKRQCEGYTHFPRPSGTFTASRRIPVSSLLSEPAPHGLAGQPTHPTFLYYIQSVAPSLCLWDACHFPPLSPYSSFSSIYWSSTVPELALRNPNISVALYAFASAKRHLTDDAVAFARQARVALTNITTTDSLLILVLLAVTQLYIPKSDIQLFNFAVDQVVKFDASLMTSPSDEIITYLLRRMFIRQVVLAGIVKPLASGLNPLPLLKCDLPPATTPTAVLDESLFHLGLRKLCHEKGLEPEFTKWSKNCPIDKADLPRLALLMIHAVFTSPVSLAQWVELILQNPDPTPAIHIARACLLAVHGVVDLGDLQMKVEKCVQSCEERQLQATISNFSTEVAQTNSSALAIGCQ