P0C0S3 AF NFT

Small-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieksvb67mhoxh2x5ubksiqicab4oimpmkqetta5bh7jmrhhmj4lpu/metadata.json
IPFS of structure file: 
bafybeiflvdwkhxgsyqxi4lpbmd6vkv77a2logxgyc7rce5jty3jp3aagau/AF-P0C0S3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9C1d9684E0Dac12a3E69D82455a213DfEC3CD43e
First NFT owner address (bech32): 
genesis1nswedp8qmtqj50nfmqj9tgsnmlkre4p7hdnm78
Current NFT ID #244930 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244930
Accession (UniProt):
P0C0S3
Name::
Small-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
SHIGELLA FLEXNERI

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 P0C0S3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C0S3|MSCS_SHIFL Small-conductance mechanosensitive channel OS=Shigella flexneri OX=623 GN=mscS PE=3 SV=1 MEDLNVVDSINGAGSWLVANQALLLSYAVNIVAALAIIIVGLIIARMISNAVNRLMISRKIDATVADFLSALVRYGIIAFTLIAALGRVGVQTASVIAVLGAAGLAVGLALQGSLSNLAAGVLLVMFRPFRAGEYVDLGGVAGTVLSVQIFSTTMRTADGKIIVIPNGKIIAGNIINFSREPVRRNEFIIGVAYDSDIDQVKQILTNIIQSEDRILKDREMTVRLNELGASSINFVVRVWSNSGDLQNVYWDVLERIKREFDAAGISFPYPQMDVNFKRVKEDKAA