B7IKT7 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifxuj75x2m7hot36yrpljc7g4id5cy5q2kz32t2ncflzjvhihpgai/metadata.json
IPFS of structure file: 
bafybeigwaf5j2bmf5lcdw634uhpzdusysw7obcb2ueoo4b4za6njrefngm/AF-B7IKT7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7AD8c6a658DFB23b669E4E517Bc775cbAdD78FF8
First NFT owner address (bech32): 
genesis10tvvdfjcm7erke57feghh3m4ewka0rlcf0e6aw
Current NFT ID #244575 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244575
Accession (UniProt):
B7IKT7
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain G9842)

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 B7IKT7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7IKT7|MSCL_BACC2 Large-conductance mechanosensitive channel OS=Bacillus cereus (strain G9842) OX=405531 GN=mscL PE=3 SV=1 MWNEFKKFAFKGNVVDLAVGVVIGAAFGKIVSSLVKDIITPLLGMVLGGVNFTDLHFGYGKSAVMYGNFIQTIFDFLIIAASIFMFIKVFNKLTSKKEDEKEEEIPEPTKEEVLLGEIRDLLKQQNSSKDRA