Q9PHA5 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieeqtll363ch5wdzegt5a23wkxlrokbaly6isgxatoq6ky3ffppze/metadata.json
IPFS of structure file: 
bafybeie6vghor5usvqoj2myqk6yahznddryp4aqyfjn7ly26ytyrkytfe4/AF-Q9PHA5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5c401a2AE9a06b2E7F7452570800CDb8584B970F
First NFT owner address (bech32): 
genesis1t3qp52hf5p4julm52ftssqxdhpvyh9c0v29ktn
Current NFT ID #244912 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244912
Accession (UniProt):
Q9PHA5
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
XYLELLA FASTIDIOSA (STRAIN 9A5C)

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 Q9PHA5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PHA5|MSCL_XYLFA Large-conductance mechanosensitive channel OS=Xylella fastidiosa (strain 9a5c) OX=160492 GN=mscL PE=3 SV=1 MSFIREFKEFVMRGNVIDLAVAVVIGAAFGKIVTALVDKIISPLIGVMVGGIDFSKLSLTLKAATVDAAGKEVPAVVIGYGDFLNTILQFIIIAFAIFIIVKMINKVINKQPLPPETPSEDVLLLREIRDSLKK