P0C0S2 Small-conductance mechanosensitive channel MolNFT, Molecular NFT on GenesisL1

Small-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigdxkitmgxvavcmo6wtnkyk3z6rpcnddw5yrtdvqiiqe2za3rcu24/metadata.json

IPFS of structure file:

bafybeidnxnstf5l6buxvltag2hhdeckfl6hegszoarcziv7oyghjwxp2re/AF-P0C0S2-F1-model_v2.pdb

First NFT owner address (eip-55):

0x34B5ce37c140674b5ED7fE960C17FF750dba5B1D

First NFT owner address (bech32):

genesis1xj6uud7pgpn5khkhl6tqc9llw5xm5kca6y7zuw

Current NFT ID #244926 owner (web3):

0x80D2ac0F5e3268bC5C1d28BBAA07E3169BB02b79

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244926
Accession (UniProt):
P0C0S2
Name::
Small-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI O157:H7

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 P0C0S2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C0S2|MSCS_ECO57 Small-conductance mechanosensitive channel OS=Escherichia coli O157:H7 OX=83334 GN=mscS PE=3 SV=1 MEDLNVVDSINGAGSWLVANQALLLSYAVNIVAALAIIIVGLIIARMISNAVNRLMISRKIDATVADFLSALVRYGIIAFTLIAALGRVGVQTASVIAVLGAAGLAVGLALQGSLSNLAAGVLLVMFRPFRAGEYVDLGGVAGTVLSVQIFSTTMRTADGKIIVIPNGKIIAGNIINFSREPVRRNEFIIGVAYDSDIDQVKQILTNIIQSEDRILKDREMTVRLNELGASSINFVVRVWSNSGDLQNVYWDVLERIKREFDAAGISFPYPQMDVNFKRVKEDKAA

P0C0S2 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P0C0S2 research and analysis (ICN3D with VR)

FASTA sequences

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