Q136W9 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigszlzwowbtkgo3ovp4txlsl6oxq6dibzczpwlddndbi5ljtfcptq/metadata.json
IPFS of structure file: 
bafybeihun6dua4mggyqt6c4fkyceit5j2eflb245w4dvy4lq3r4kn4u3iq/AF-Q136W9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc8fc7f808783C855EbF1b7F22253C6BFc27D2d77
First NFT owner address (bech32): 
genesis1er78lqy8s0y9t6l3klezy57xhlp86tthwhqyc8
Current NFT ID #244830 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244830
Accession (UniProt):
Q136W9
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Rhodopseudomonas palustris (strain BisB5)

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 Q136W9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q136W9|MSCL_RHOPS Large-conductance mechanosensitive channel OS=Rhodopseudomonas palustris (strain BisB5) OX=316057 GN=mscL PE=3 SV=1 MLKEFREFAMKGNVVDLAVGVIIGAAFGAIVTSMVGDLIMPVIGAVTGGLDFSNYFTPLSKAVTANSLAEAKKQGAVLAWGSFLTITLNFLIVAGVLFGVIRAMNRLKRNDEAVAASPPKPTREQELLTEIRDILKSGIRPQV