Q9C1K0 AF NFT

Pea pathogenicity protein 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigxtohynztc7lc4engyxnhktekpvoo7bhi4cyljvta25nibv3ycle/metadata.json
IPFS of structure file: 
bafybeiawtr3ozsmu6fbjgixspfd4xz7jfa72n2qt5yfosihjdizmzzh7h4/AF-Q9C1K0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x10b76e1579Af0AE150397F3a292746dC079eA377
First NFT owner address (bech32): 
genesis1zzmku9te4u9wz5pe0uazjf6xmsreagmh0trpc5
Current NFT ID #293296 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
293296
Accession (UniProt):
Q9C1K0
Name::
Pea pathogenicity protein 2
Experimental Method:
Predicted structure
Sequence source:
FUSARIUM SOLANI

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 Q9C1K0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9C1K0|PEP2_FUSSL Pea pathogenicity protein 2 OS=Fusarium solani OX=169388 GN=PEP2 PE=2 SV=2 MVNLHSLPQGSRPNAAIRNNGPDSLALERLKLRELAEGWPSYRDSCEWENFESIFHPGAYVYTTWSGRVAYQDFIAASKAGMDKGAFIMHRCHGSSTDINVDGTRAVTKLKATITQRFEVGGSEFDVEADCRFCFYFEKINGSWGARLVKHWYEKDKMIPVNPAKFPQVDEDKLKAYPPGYKYLAYWQETAMGIKVLLDMPGHRRHVGTVNLEKHDELYWLAKRWLEGEQIEV