A5IEQ9 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig62p5dihsnx3me3rj6qg2d4j27lytes7tgx3qby3gscahgse44bu/metadata.json
IPFS of structure file: 
bafybeidfvgtu7db77gyjxubq4ufdyeyzigeu4p6jtkuplwidqasaxao3qy/AF-A5IEQ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0056155E6B76709C124E31067C4d1B97cA9dA71a
First NFT owner address (bech32): 
genesis1qptp2hntwecfcyjwxyr8cngmjl9fmfc6v8vlhn
Current NFT ID #244737 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244737
Accession (UniProt):
A5IEQ9
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Legionella pneumophila (strain Corby)

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 A5IEQ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5IEQ9|MSCL_LEGPC Large-conductance mechanosensitive channel OS=Legionella pneumophila (strain Corby) OX=400673 GN=mscL PE=3 SV=1 MSLLKEFKEFAMRGNVMDLAVAVVMGVAFNKIVTALVDGIIMPCVGLLLGGVNIAGLSFTVGDAQIKWGNFLQNVIDFIIVAFAIFVLIKLINLLQRKKANEPEPVTSEIQLLTEIRDLLARNSSKI