B0KHQ5 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie2pamvrnp3yrwuhhetgie2gjw7n3pqmh5boyohfvsj6ej5crhkm4/metadata.json
IPFS of structure file: 
bafybeiahdmsmiifhsveemqiznpgzwynlweun5yi56hvwq4cfbqjxmlbxym/AF-B0KHQ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCbAB44eAF7010f6D58F509F23fD04415aAbC4Fba
First NFT owner address (bech32): 
genesis1ew45f6hhqy8k6k84p8erl5zyzk4tcna6tm8de9
Current NFT ID #244810 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244810
Accession (UniProt):
B0KHQ5
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Pseudomonas putida (strain GB-1)

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 B0KHQ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0KHQ5|MSCL_PSEPG Large-conductance mechanosensitive channel OS=Pseudomonas putida (strain GB-1) OX=76869 GN=mscL PE=3 SV=1 MGMLNEFKAFAVKGNVVDMAVGIIIGAAFGKIVSSFVGDVIMPPLGLLIGGVDFSDLAITLKAAEGDVPAVVLAYGKFIQTVIDFVIVAFAIFMGVKAINRLKREEAVAPTTPPVPSAEETLLTEIRDLLKTQNQNRLP