Q30KK2 AF NFT

Beta-defensin 126

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie7hdxkc2qzbkze2lvpwp4blqhjao3iemaul5v32lc7ljzkp5szq4/metadata.json
IPFS of structure file: 
bafybeigz3ghasozd4xbtwmoo3ozofvhbs6yaxzhq72sjxlbgeulwyungre/AF-Q30KK2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #90264 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
90264
Accession (UniProt):
Q30KK2
Name::
Beta-defensin 126
Experimental Method:
Predicted structure
Sequence source:
PAN TROGLODYTES

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 Q30KK2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q30KK2|DB126_PANTR Beta-defensin 126 OS=Pan troglodytes OX=9598 GN=DEFB126 PE=3 SV=2 MKSLLFTLAVFMLLAQLVSGNWYVKKCLNDVGICKKKCKPGEMHIKNGWATCGKQRDCCVPADRRANYPAFCVQTKTTRTSTVTAKTTLMVTTASMSSMAPTPVSPTG