B9ISZ4 AF NFT

Antiholin-like protein LrgA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeievpwks3msofnlitzhgjojwvy3fxxtfshuffdgk74lozmfufuxhmu/metadata.json
IPFS of structure file: 
bafybeif6rrsc2utyd35mw2s5wj7rw3pp2ozspr2jtapkykiobmssbujesy/AF-B9ISZ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc6B41bCaA1d08E785B5F25B38baDB815ab7D4970
First NFT owner address (bech32): 
genesis1c66phj4p6z88sk6lykechtdczk4h6jtsdkp23f
Current NFT ID #219823 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
219823
Accession (UniProt):
B9ISZ4
Name::
Antiholin-like protein LrgA
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain Q1)

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 B9ISZ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9ISZ4|LRGA_BACCQ Antiholin-like protein LrgA OS=Bacillus cereus (strain Q1) OX=361100 GN=lrgA PE=3 SV=1 MSTKKVYSFLSQAFIFSAIMLISNIIATHLPIPMPSSVIGLVILFSLLCLKVIKLEQVESLGTALTGIIGFLFVPSGISVINSLGVMGQYFVQILTVIVVATVILLAVTGLFAQFILGKDKKETEDTKELKVVNKGRKHGKVA