Q0K6A4 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiej23eolx4tjjjz7s4l56tq54f2mqfessskcxbwb44nebfadlanea/metadata.json
IPFS of structure file: 
bafybeigseovkaom5hbjhxl4d5ijeehqy7j5r245jkvrvgclt2cxdss4ed4/AF-Q0K6A4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf1921b04aF777a5cc7d58a099D65f6CeCC3F29f9
First NFT owner address (bech32): 
genesis17xfpkp90waa9e3743gye6e0kemxr720em6j2hj
Current NFT ID #244662 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244662
Accession (UniProt):
Q0K6A4
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337)

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 Q0K6A4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0K6A4|MSCL_CUPNH Large-conductance mechanosensitive channel OS=Cupriavidus necator (strain ATCC 17699 / DSM 428 / KCTC 22496 / NCIMB 10442 / H16 / Stanier 337) OX=381666 GN=mscL PE=3 SV=1 MGMISEFRTFAVRGNVIDLAVGVIIGAAFGKIVDSVVNDLIMPLVGRVIGKLDFSSMFIVLADPPPGTPTTLDALKKAGVPVFAYGNFLTIVVNFLILAFIIFLMVRAFNRMRAAEPEAAPAAPPEEVVLLREIRDSLKTR