Q814J2 AF NFT

Antiholin-like protein LrgA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih3otsd7z6dmkocvdvafuplil37iytkhz3hvjtyudcma44nrclsj4/metadata.json
IPFS of structure file: 
bafybeigmv25j22d6s7zntlsodk7cnisixjzqjz333qmy7sco4bf7uf2lyq/AF-Q814J2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd9004EA8bb29b982431948B179095C248197194f
First NFT owner address (bech32): 
genesis1myqya29m9xucyscefzchjz2uyjqewx205hx5gw
Current NFT ID #219824 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
219824
Accession (UniProt):
Q814J2
Name::
Antiholin-like protein LrgA
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q814J2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q814J2|LRGA_BACCR Antiholin-like protein LrgA OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=lrgA PE=3 SV=1 MAKMSTKKVYSFLLQAFIFSAIMLISNIIATHLPIPMPSSVIGLVILFSLLCLKVIKLEQVESLGTALTGIIGFLFVPSGISVINSLGVMGQYFVQILTVIVVATVILLAVTGLFAQFILGKDEKETEDIKELKVVNKGRKHGKVA