Q0W9P9 AF NFT

Beta-defensin 103A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiamwef3u6fvh4nyokkyatnuqenzmv6zmt25rfdjhtp67owfj2v2me/metadata.json
IPFS of structure file: 
bafybeifu3zglgkrdtzel2xmfm67b2kufza6eg77e7y7qo3lslgfmadwdli/AF-Q0W9P9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x81106a8303497ae2BcdCbBb159a9b5df2f62b627
First NFT owner address (bech32): 
genesis1sygx4qcrf9aw90xuhwc4n2d4muhk9d38erg8tf
Current NFT ID #86842 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
86842
Accession (UniProt):
Q0W9P9
Name::
Beta-defensin 103A
Experimental Method:
Predicted structure
Sequence source:
EQUUS CABALLUS

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 Q0W9P9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0W9P9|D103A_HORSE Beta-defensin 103A OS=Equus caballus OX=9796 GN=DEFB103A PE=3 SV=1 MRIHFLLFALLFLFLMPVPGNGGIINMLQKSYCKIRKGRCALLGCLPKEEQIGSCSVSGRKCCRKKK