Q0HMW6 Large-conductance mechanosensitive channel MolNFT, Molecular NFT on GenesisL1

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiegtm7bz3zqnndztpwjaqviu3vxzgpifii4v464oxbj2jw5yjgphu/metadata.json

IPFS of structure file:

bafybeigqiaja735pzjz7erofolbnbmwvktwt4253c3pywiu4wrs5mw5g4a/AF-Q0HMW6-F1-model_v2.pdb

First NFT owner address (eip-55):

0x8cd4def81d74E05B9A5238beD1eE200FF5B0f384

First NFT owner address (bech32):

genesis13n2da7qawns9hxjj8zldrm3qpl6mpuuyfeft5f

Current NFT ID #244857 owner (web3):

0x4a9eD2eAf8d72EFA9810BAb10Ec13711141c1541

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244857
Accession (UniProt):
Q0HMW6
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Shewanella sp. (strain MR-4)

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 Q0HMW6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0HMW6|MSCL_SHESM Large-conductance mechanosensitive channel OS=Shewanella sp. (strain MR-4) OX=60480 GN=mscL PE=3 SV=1 MSLIKEFKAFASRGNVIDMAVGIIIGAAFGKIVSSFVADIIMPPIGIILGGVNFSDLSIVLQAAQGDAPAVVIAYGKFIQTVIDFTIIAFAIFMGLKAINSLKRKQEEAPKAPPAPTKDQELLSEIRDLLKAQQEK

Q0HMW6 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q0HMW6 research and analysis (ICN3D with VR)

FASTA sequences

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