Q2JLN5 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicftn3vzwqfvsojnmr47fxq27t2dxainjif6phqojgztxlkc6eh3y/metadata.json
IPFS of structure file: 
bafybeigtb6zc4upugekdw45ptqbvzuo5mjx2qijwuc3b33jozlf3wfly2e/AF-Q2JLN5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #244891 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244891
Accession (UniProt):
Q2JLN5
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Synechococcus sp. (strain JA-2-3B'a(2-13))

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 Q2JLN5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2JLN5|MSCL_SYNJB Large-conductance mechanosensitive channel OS=Synechococcus sp. (strain JA-2-3B'a(2-13)) OX=321332 GN=mscL PE=3 SV=1 MRAFLEEFKNFISRGNALDLAVGVVIGGAFGKIVTSFVADLFTPVLGLMIGGVNFQHLAWEIGGSPEDPVTINYGSFLQAVFDFVIIAFAIFLLVKAINTLQRKEEESPPTLPPPEVVLLTEIRDILNRHSQ