A9AIS5 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicisknmrgelhbmqg76hn2a5iheweedeccwmqh25w5hnen2ragjghm/metadata.json
IPFS of structure file: 
bafybeiantjvscii4ncjohe4jo4am77jezzs724qnusl6r7wzva7oyhzn7m/AF-A9AIS5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xea5e5df69AEf6783317c09037B3CF8371A780057
First NFT owner address (bech32): 
genesis1af09ma56aancxvtupyphk08cxud8sqzhzt55xz
Current NFT ID #244623 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
244623
Accession (UniProt):
A9AIS5
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA MULTIVORANS (STRAIN ATCC 17616 / 249)

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 A9AIS5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9AIS5|MSCL_BURM1 Large-conductance mechanosensitive channel OS=Burkholderia multivorans (strain ATCC 17616 / 249) OX=395019 GN=mscL PE=3 SV=1 MSIIKEFKEFAVKGNVMDLAVGVIIGGAFSKIVDSVVKDLIMPVIGVLTGGLDFSNKFVLLGTVPASFKGNPDSFKDLQAAGVAVFGYGSFITVLINFIILAFIIFLMVKFINKLRKPAEAAPAATPEDIVLLREIRDSLKQR