Q28785 AF NFT

CD59 glycoprotein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeift5l3f2u3qr2bondkhgmtq7oh2tjkgmsrfepzcygudmtba667whm/metadata.json
IPFS of structure file: 
bafybeih4u3pyg5smrlljz74vacerbizi2s3dvu2bixx7tw3clxodrwohra/AF-Q28785-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5fAc844F3eB0603C2D36eF1eFC4Ec1afF91AF3C9
First NFT owner address (bech32): 
genesis1t7kggne7kpsrctfkau00cnkp4lu34u7fk9pnkw
Current NFT ID #56325 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
56325
Accession (UniProt):
Q28785
Name::
CD59 glycoprotein
Experimental Method:
Predicted structure
Sequence source:
Papio sp.

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 Q28785 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q28785|CD59_PAPSP CD59 glycoprotein OS=Papio sp. OX=61183 GN=CD59 PE=3 SV=1 MGIQGGSVLFGLLLALAVFCHSGHSLQCYNCPNPTTNCKTAINCSSGFDTCLIARAGLQVYNQCWKFANCNFNDISTLLKESELQYFCCKEDLCNEQLENGGTSLSEKTVLLLVTPLLAAAWCLHP