Q47AR9 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigaks6cicxwitcm6egpqkxuppfobgkuhhovvkxmoilg5q42y6mvii/metadata.json
IPFS of structure file: 
bafybeic5vh7ee6wfwaje7ijy7mvcxynl7r7ffkccvrdqpc5xqthj5e4meq/AF-Q47AR9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #244665 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244665
Accession (UniProt):
Q47AR9
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Dechloromonas aromatica (strain RCB)

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 Q47AR9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q47AR9|MSCL_DECAR Large-conductance mechanosensitive channel OS=Dechloromonas aromatica (strain RCB) OX=159087 GN=mscL PE=3 SV=1 MGMIQEFKEFAVKGNAMDLAVGVIIGGAFGKIVDSIVGDLIMPLVSRVVGKLDFSNLFFVLGDNPNNLTALADLKKAGIAVFAYGSFLTILVNFIILAFIIFMMVKQMNRMRKEEPAAPAEAPATPEDVLLLREIRDSLKK