Q5PIT4 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiha2f5ydvtjndrls3xoueotrep4znnqog7gsd5lrfm7dwmubaqig4/metadata.json
IPFS of structure file: 
bafybeiccwdknlwhgunbgzm4xov375p3o6vrhhcmykdhv5dwu3o6ajfjd4i/AF-Q5PIT4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x22F3a05dfAAbB6E31337CA9FAAe02B6DbF88e582
First NFT owner address (bech32): 
genesis1yte6qh064wmwxyehe2064cptdklc3evzawjnue
Current NFT ID #244842 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244842
Accession (UniProt):
Q5PIT4
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA PARATYPHI A (STRAIN ATCC 9150 / SARB42)

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 Q5PIT4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5PIT4|MSCL_SALPA Large-conductance mechanosensitive channel OS=Salmonella paratyphi A (strain ATCC 9150 / SARB42) OX=295319 GN=mscL PE=3 SV=1 MSFIKEFREFAMRGNVVDLAVGVIIGAAFGKIVSSLVADIIMPPLGLLIGGIDFKQFAFTLREAQGDIPAVVMHYGVFIQNVFDFVIVAFAIFVAIKLINRLNRKKAEEPAAPPAPSKEEVLLGEIRDLLKEQNNRS