P09167 AF NFT | MOLNFT bioinformatics, blockchain

Aerolysin

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihjlj5sgrezg4g5azcmftoc3marr7huurltlhpt2tikziderexlym/metadata.json

IPFS of structure file:

bafybeibzjzpbveut5n3cjftrelnocqhposvslfn7mwp3rg2kdth3pt4po4/AF-P09167-F1-model_v2.pdb

First NFT owner address (eip-55):

0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7

First NFT owner address (bech32):

genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm

Current NFT ID #10780 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
10780
Accession (UniProt):
P09167
Name::
Aerolysin
Experimental Method:
Predicted structure
Sequence source:
AEROMONAS HYDROPHILA

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 P09167 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P09167|AERA_AERHY Aerolysin OS=Aeromonas hydrophila OX=644 GN=aerA PE=1 SV=2 MQKIKLTGLSLIISGLLMAQAQAAEPVYPDQLRLFSLGQGVCGDKYRPVNREEAQSVKSNIVGMMGQWQISGLANGWVIMGPGYNGEIKPGTASNTWCYPTNPVTGEIPTLSALDIPDGDEVDVQWRLVHDSANFIKPTSYLAHYLGYAWVGGNHSQYVGEDMDVTRDGDGWVIRGNNDGGCDGYRCGDKTAIKVSNFAYNLDPDSFKHGDVTQSDRQLVKTVVGWAVNDSDTPQSGYDVTLRYDTATNWSKTNTYGLSEKVTTKNKFKWPLVGETELSIEIAANQSWASQNGGSTTTSLSQSVRPTVPARSKIPVKIELYKADISYPYEFKADVSYDLTLSGFLRWGGNAWYTHPDNRPNWNHTFVIGPYKDKASSIRYQWDKRYIPGEVKWWDWNWTIQQNGLSTMQNNLARVLRPVRAGITGDFSAESQFAGNIEIGAPVPLAADSKVRRARSVDGAGQGLRLEIPLDAQELSGLGFNNVSLSVTPAANQ