Q0P448 AF NFT

Protein DPCD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihgsprkn4qdusotk6cggdh67grq6ok5nftpqvcpghqobsfzgq24xu/metadata.json
IPFS of structure file: 
bafybeicb4tnodktio3xchjqx2n2sbpyqmaslokk3s7ac4tvh723z4pcz4a/AF-Q0P448-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2966D071384Ceb78B2F547f4DEBFFAE1F0B2c31F
First NFT owner address (bech32): 
genesis199ndqufcfn4h3vh4gl6da0l6u8ct9scl6zyu9x
Current NFT ID #103493 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
103493
Accession (UniProt):
Q0P448
Name::
Protein DPCD
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q0P448 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0P448|DPCD_DANRE Protein DPCD OS=Danio rerio OX=7955 GN=dpcd PE=2 SV=1 MAVQQWADALKKAKKTALISDGKRKVHYQFEDGNEMAEEYDLKTDELVMRKWRHKTTFGGQGQWTLEVGETNPTGATSDLIKENSSNPLFMRRDTKTSFQWRIRNISYPLEVYSVTAEPMERCCVIRTSNKKYYKKFSIPDLERCQLPLESTALSFTHANNTLIISYKKPKEILTLEQELLGELKKLKGTSEGDIDCKTQ