D0EXD3 AF NFT

Antifungal protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig5gfomsrklyhkf4lm4ydu66iwlng4zf4bsora7oe77haawlzmpva/metadata.json
IPFS of structure file: 
bafybeiermhgwmmatydkqilgt2xomtflngzqotikysxnagvocp7strutseu/AF-D0EXD3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEd71ce1a7bb677765D57353608493EB32eFCCCf9
First NFT owner address (bech32): 
genesis1a4cuuxnmkemhvh2hx5mqsjf7kvh0en8e5dvwr8
Current NFT ID #10997 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
10997
Accession (UniProt):
D0EXD3
Name::
Antifungal protein
Experimental Method:
Predicted structure
Sequence source:
PENICILLIUM CHRYSOGENUM

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 D0EXD3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|D0EXD3|AFP_PENCH Antifungal protein OS=Penicillium chrysogenum OX=5076 GN=afp PE=1 SV=1 MQITSIAIVFFAAMGAVANPIARESDDLDARDVQLSKFGGECSLKHNTCTYLKGGKNHVVNCGSAANKKCKSDRHHCEYDEHHKRVDCQTPV