Q81JL4 AF NFT

Antiholin-like protein LrgA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib2bbn6d55n6vh3dp6qfvlvqzhulluvx3ei5tnmhohgkpx5lceiru/metadata.json
IPFS of structure file: 
bafybeiahlkla2butnoomcfnnksfhdj6qtxbjjzwh4ehsdy5ovthisml6zi/AF-Q81JL4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #219817 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
219817
Accession (UniProt):
Q81JL4
Name::
Antiholin-like protein LrgA
Experimental Method:
Predicted structure
Sequence source:
BACILLUS ANTHRACIS

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 Q81JL4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q81JL4|LRGA_BACAN Antiholin-like protein LrgA OS=Bacillus anthracis OX=1392 GN=lrgA PE=3 SV=1 MSTKKVYSFLSQAFIFSAIMLISNIIATHLPIPMPSSVIGLVILFSLLCLKVIKLEQVESLGTALTGIIGFLFVPSGISVINSLGVMGQYFVQILTVIVVATVILLAVTGLFAQFILGKDEKETEDTKELKVVNKGRKHGKVA