A6T365 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:

bafybeibq27l24k2ttj7orpdwvnorvqeniqvnaaikre7oovqttasd26dcpa/metadata.json

IPFS of structure file:

bafybeigvazdpncf2a4orfyurborkh6kng6mxttiy6zxu4bof727jcdlq3e/AF-A6T365-F1-model_v2.pdb

First NFT owner address (eip-55):

0x808E7f2446Bf50908aD112C70afD6E2e27bFd57D

First NFT owner address (bech32):

genesis1sz887fzxhagfpzk3ztrs4ltw9cnml4ta64ks6s

Current NFT ID #244721 owner (web3):

0x9ca0Bbc3BB4584d00115ebA5E268665f2D102b4b

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244721
Accession (UniProt):
A6T365
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Janthinobacterium sp. (strain Marseille)

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 A6T365 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6T365|MSCL_JANMA Large-conductance mechanosensitive channel OS=Janthinobacterium sp. (strain Marseille) OX=375286 GN=mscL PE=3 SV=1 MGMMQEFKEFAVKGNVVDLAVAVIVGAAFGKIVDSLVQDVIMPVVGKIFGGLDFSNYYIALNNQDPNLTLVEAKKLGAVLAYGNFITIALNFIILAFIIFQMVRLLNKLKRTEPPAPEEPAAVPEDIALLREIRDSLKK

A6T365 AF NFT

MOLNFT AF v1

NFT data

MOLNFT A6T365 research and analysis (ICN3D with VR)

FASTA sequences

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