Q2IWV4 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicchh7hlbpkkji7csjewo7kwsyymrcxlpvwrrgjufsbgfyuyrqupu/metadata.json
IPFS of structure file: 
bafybeidmxfkkc5y26qceqvhjrqlrplzhsjfbjjd4pk22n2l5bpykxtw6ri/AF-Q2IWV4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7F33a9F770353bFf70F3E1B35e2FD71C13f0da54
First NFT owner address (bech32): 
genesis10ue6namsx5al7u8nuxe4ut7hrsflpkj5nrrv4y
Current NFT ID #244827 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244827
Accession (UniProt):
Q2IWV4
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
RHODOPSEUDOMONAS PALUSTRIS (STRAIN HAA2)

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 Q2IWV4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2IWV4|MSCL_RHOP2 Large-conductance mechanosensitive channel OS=Rhodopseudomonas palustris (strain HaA2) OX=316058 GN=mscL PE=3 SV=1 MFKEFREFAMKGNVVDLAVGVIIGAAFGGIVSSLVADVIMPIIGAITGGLDFSNYFTPLSKAVTANTLVEAKKQGAVLAWGSFLTLTLNFLIVAFVLFLVVRAMNRLKRKDEAAPAPPAKPTPEQELLAEIRDILKSGSRPQA