P82290 AF NFT

Cecropin-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidji6azu2q6x5t7f56jy7wa6mh6eruevdu3p7j5go2wwzbjx4cl5i/metadata.json
IPFS of structure file: 
bafybeigvbjo5vgjdxa36jjs4h22xmmsa5sd5uxxxm5osfedbhbrbfixryu/AF-P82290-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4f128cb83Fc363D88397b092A6C59013E2a57E1e
First NFT owner address (bech32): 
genesis1fufgewplcd3a3quhkzf2d3vsz0322ls7z0x87u
Current NFT ID #57772 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
57772
Accession (UniProt):
P82290
Name::
Cecropin-A
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 P82290 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P82290|CECA_ANOGA Cecropin-A OS=Anopheles gambiae OX=7165 GN=CecA PE=1 SV=1 MNFSKIFIFVVLAVLLLCSQTEAGRLKKLGKKIEGAGKRVFKAAEKALPVVAGVKALG