Q89ZV7 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigoubagppaypqvpfqvvbpkdjr2x5mptbzubsrq6q75mha7lorvxma/metadata.json
IPFS of structure file: 
bafybeignxvkd7sel4ra3we3ufr7y33hgzhezgq2c4zovihwjychahkkwua/AF-Q89ZV7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #244590 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244590
Accession (UniProt):
Q89ZV7
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bacteroides thetaiotaomicron (strain ATCC 29148 / DSM 2079 / JCM 5827 / CCUG 10774 / NCTC 10582 / VPI-5482 / E50)

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 Q89ZV7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q89ZV7|MSCL_BACTN Large-conductance mechanosensitive channel OS=Bacteroides thetaiotaomicron (strain ATCC 29148 / DSM 2079 / JCM 5827 / CCUG 10774 / NCTC 10582 / VPI-5482 / E50) OX=226186 GN=mscL PE=3 SV=1 MGKSTFLQDFKAFAMKGNVIDMAVGVVIGGAFGKIVSSLVANVIMPPIGLLVGGVNFTDLKWVMKAAEVGADGKEIAPAVSLDYGQFLQATFDFLIIAFAIFLFIRLITKLTTKKAAEEAPAAPPAPPAPTKEEVLLTEIRDLLKEKK