B9EBV2 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicjvoxfpjjcqqxs5q7mfpyvj5bkld4wpxo57otmyi3pnimstbenfe/metadata.json
IPFS of structure file: 
bafybeicq5iumlfb3u2rvjboyjp4yzwnyds4ibuzflo6c4umo6icidnvgau/AF-B9EBV2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA1740d814B84975811C96baED2801952BAEf63bb
First NFT owner address (bech32): 
genesis1596qmq2tsjt4sywfdwhd9qqe22aw7cam7j4jdy
Current NFT ID #244755 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244755
Accession (UniProt):
B9EBV2
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Macrococcus caseolyticus (strain JCSC5402)

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 B9EBV2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9EBV2|MSCL_MACCJ Large-conductance mechanosensitive channel OS=Macrococcus caseolyticus (strain JCSC5402) OX=458233 GN=mscL PE=3 SV=1 MSLLKEFKEFAVKGNVLDLAVAVVIGAAFGKIVSSLVADVIMPIIGLIFGNTDFASSWAYKGIKYGVFIQSIVDFLIVAGAIFLFIKLINKITRKSEVEEVEEAVEENTVLLTEIRDLLRSK