P0A1X9 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicgusgzq7wkhmcmi4j5qxdgeq5zneribumx4h6wcggqgf54og6jli/metadata.json
IPFS of structure file: 
bafybeihdmyd3rrw7gyba22hqo3seiqz4swahidl23cmabiel6bcqzf2p5e/AF-P0A1X9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa02b5090CBcB455f0D7C37e6025D7C5a50E46d18
First NFT owner address (bech32): 
genesis15q44pyxtedz47rtuxlnqyhtutfgwgmgc5lytg2
Current NFT ID #244847 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244847
Accession (UniProt):
P0A1X9
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA TYPHI

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 P0A1X9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0A1X9|MSCL_SALTI Large-conductance mechanosensitive channel OS=Salmonella typhi OX=90370 GN=mscL PE=3 SV=1 MSFIKEFREFAMRGNVVDLAVGVIIGAAFGKIVSSLVADIIMPPLGLLIGGIDFKQFAFTLREAQGDIPAVVMHYGVFIQNVFDFVIVAFAIFVAIKLINRLNRKKAEEPAAPPAPSKEEVLLGEIRDLLKEQNNRS