Q88E23 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigm52ihtxwt4fpjwi7a5jo7fm7kz6u2bkik5xa3klmlxgfszesosm/metadata.json
IPFS of structure file: 
bafybeia4sdgpual536fuq2u2ihvblaes74dqxhjkkgpakx3ab3w3naryxq/AF-Q88E23-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1CeB6b8388b4565A8DB0dDBE05adED08230cDd89
First NFT owner address (bech32): 
genesis1rn4khqugk3t94rdsmklqtt0dpq3sehvfreae9s
Current NFT ID #244811 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244811
Accession (UniProt):
Q88E23
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Pseudomonas putida (strain ATCC 47054 / DSM 6125 / CFBP 8728 / NCIMB 11950 / KT2440)

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 Q88E23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q88E23|MSCL_PSEPK Large-conductance mechanosensitive channel OS=Pseudomonas putida (strain ATCC 47054 / DSM 6125 / CFBP 8728 / NCIMB 11950 / KT2440) OX=160488 GN=mscL PE=3 SV=1 MGMLNEFKAFAVKGNVVDMAVGIIIGAAFGKIVSSFVGDVIMPPLGLLIGGVDFSDLAITLKAAEGDVPAVVLAYGKFIQTVIDFVIVAFAIFMGVKAINKLKREEAVAPTTPPVPSAEETLLTEIRDLLKTQNQNRLP