Q16BG3 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaz57dxtaknri2k62d4ubxbhrfax3hlb3w3qsqcjgn4f2ratn6tu4/metadata.json
IPFS of structure file: 
bafybeihr3335tfvmmhv6nmb6x2suf4x7k6h6jdd7x4zzszq6j4yauzv5zy/AF-Q16BG3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2F61dB7B2C9a82D9F38c269549C95103f50F9AEa
First NFT owner address (bech32): 
genesis19asak7evn2pdnuuvy625nj23q06slxh2uv35fr
Current NFT ID #244831 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244831
Accession (UniProt):
Q16BG3
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
ROSEOBACTER DENITRIFICANS (STRAIN ATCC 33942 / OCH 114)

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 Q16BG3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q16BG3|MSCL_ROSDO Large-conductance mechanosensitive channel OS=Roseobacter denitrificans (strain ATCC 33942 / OCh 114) OX=375451 GN=mscL PE=3 SV=1 MLNEFKTFISKGNVMDMAVGIIIGAAFTAIVSSLVADLVNPFIALFTGGIDFSGWFYALDGETYASLAAATDAGAPVFAFGNFIMAVINFLIIAFVVFMLVKTVNRIKDAAEGEKEAVAEEPAGPTELDILKEIRDALAKQG