Q17027 AF NFT

Defensin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiglhlqpreritxavzo2qdpuia4bmt3auytgaqudc2flkacaehl6igm/metadata.json
IPFS of structure file: 
bafybeialcuiajijjsmrdeflvnrpt4wezo5tnssu5ymjy2i3np2zsc5caze/AF-Q17027-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01d27036D0b2F2b48590ff9F414E8DC840974276
First NFT owner address (bech32): 
genesis1q8f8qdksktetfpvsl705zn5depqfwsnkwtft8s
Current NFT ID #94057 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
94057
Accession (UniProt):
Q17027
Name::
Defensin
Experimental Method:
Predicted structure
Sequence source:
ANOPHELES GAMBIAE

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 Q17027 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q17027|DEFI_ANOGA Defensin OS=Anopheles gambiae OX=7165 GN=Def1 PE=1 SV=1 MKCATIVCTIAVVLAATLLNGSVQAAPQEEAALSGGANLNTLLDELPEETHHAALENYRAKRATCDLASGFGVGSSLCAAHCIARRYRGGYCNSKAVCVCRN