P42425 Lon protease 2 MolNFT, Molecular NFT on GenesisL1

Lon protease 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiau3elrasvpmkp3i3bl5t5smerqoh2uvwlcwhej7jbnbdih6ohr2q/metadata.json

IPFS of structure file:

bafybeiczx4d76zxzsgebg655w3qj5mqu333myl3z3a6nm5ydn3newmek24/AF-P42425-F1-model_v2.pdb

First NFT owner address (eip-55):

0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3

First NFT owner address (bech32):

genesis1gmhu57ydqw37s7w6ekuk254t3w78ug9ndfc7sx

Current NFT ID #216628 owner (web3):

0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
216628
Accession (UniProt):
P42425
Name::
Lon protease 2
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 P42425 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P42425|LON2_BACSU Lon protease 2 OS=Bacillus subtilis (strain 168) OX=224308 GN=lon2 PE=2 SV=2 MSWTGIALFIQLFFGIIIGLYFWNLLKNQRTQKVTIDKESKKEMEQLRKMRAISLSEPLSEKVRPKSFKDIVGQEDGIKALKAALCGPNPQHVIVYGPPGVGKTAAARLVLEEAKKHKQSPFKEQAVFVELDATTARFDERGIADPLIGSVHDPIYQGAGAMGQAGIPQPKQGAVTHAHGGVLFIDEIGELHPIQMNKMLKVLEDRKVFLDSAYYSEENTQIPNHIHDIFQNGLPADFRLIGATTRMPNEIPPAIRSRCLEVFFRELEKDELKTVAKTAADKIEKNISEEGLDLLTSYTRNGREAVNMIQIAAGMAVTENRKDITIEDIEWVIHSSQLTPKHEQKIGVEPQVGIVNGLAVYGPNSGSLLEIEVSVTAAQDKGSINITGIAEEESIGSQSKSIRRKSMAKGSVENVLTVLRTMGMKPSDYDIHINFPGGIPIDGPSAGIAMAAGIFSAIHKIPIDNTVAMTGEISLNGLVKPIGGVIPKIKAAKQSGAKKVIIPYENQQAILKQIDGIEIIAVKTFQEVLDEILVNPPTEQKPFHIEINKESV

P42425 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P42425 research and analysis (ICN3D with VR)

FASTA sequences

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