A5UH89 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihvtvy3d53gvvqy5u6q2nkqnqn5pzes4e45fh77iey7mwz7e4zznm/metadata.json
IPFS of structure file: 
bafybeibn4vfbctaoep3tu66bbcfmh7o3qgig2oz23iddk44vm2o3ewu7fa/AF-A5UH89-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1C58DD8e416a8a24De87b52650Fb18F94DAEd1db
First NFT owner address (bech32): 
genesis1r3vdmrjpd29zfh58k5n9p7ccl9x6a5wmj53gpc
Current NFT ID #244713 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244713
Accession (UniProt):
A5UH89
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Haemophilus influenzae (strain PittGG)

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 A5UH89 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5UH89|MSCL_HAEIG Large-conductance mechanosensitive channel OS=Haemophilus influenzae (strain PittGG) OX=374931 GN=mscL PE=3 SV=1 MNFIKEFREFAMRGNVVDMAIGVIIGSAFGKIVSSLVSDIFTPVLGILTGGIDFKDMKFVLAQAQGDVPAVTLNYGLFIQNVIDFIIIAFAIFMMIKVINKVRKPEEKKTAPKAETLLTEIRDLLKNK