A9L4L5 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiczha32znofnzh6vw5hnzc65j4da5q67diy6zjs462acv3vej3qcy/metadata.json
IPFS of structure file: 
bafybeicl6dhdhr462pxkbfv6dcm3gvpaw7zrm7w5fyu64nslynfaagdpiu/AF-A9L4L5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe354e80AEdde0A05f672D405ccd4E5dC19c865fC
First NFT owner address (bech32): 
genesis1ud2wszhdmc9qtanj6szue489msvuse0uvqfwfg
Current NFT ID #244853 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244853
Accession (UniProt):
A9L4L5
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Shewanella baltica (strain OS195)

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 A9L4L5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9L4L5|MSCL_SHEB9 Large-conductance mechanosensitive channel OS=Shewanella baltica (strain OS195) OX=399599 GN=mscL PE=3 SV=1 MSLIKEFKAFASRGNVIDMAVGIIIGAAFGKIVSSFVADIIMPPIGIILGGVNFSDLSIVLQAAQGDAPSVVIAYGKFIQTIIDFTIIAFAIFMGVKAINRLKRKEEVAPKAPAAPTKDQELLSEIRDLLKAQQEK