Q30KN3 AF NFT

Beta-defensin 33

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihhesnqoceiepnuonw5uzqh5cnkuesx6qbdbvt7ocnpqg7s63bdf4/metadata.json
IPFS of structure file: 
bafybeifwpvkkaoeihqcfsrxxorqaagyvgmjckcchrcrzk42qpkxdbnzcfu/AF-Q30KN3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x52be76af066Cd5Ef80540DEF3EA5104E6EeA759B
First NFT owner address (bech32): 
genesis122l8dtcxdn27lqz5phhnafgsfehw5avm3mnvzf
Current NFT ID #96604 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
96604
Accession (UniProt):
Q30KN3
Name::
Beta-defensin 33
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q30KN3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q30KN3|DFB33_MOUSE Beta-defensin 33 OS=Mus musculus OX=10090 GN=Defb33 PE=3 SV=1 MRLLFLLFILLVCLAQTTSGRKRNSKFRPCEKMGGICKSQKTHGCSILPAECKSRYKHCCRL