Q3SRA3 AF NFT

Large-conductance mechanosensitive channel

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidx5wdr4g45q7ejixbp7nla653kpmb3wjugyjlojp6oa4okgxlngm/metadata.json
IPFS of structure file: 
bafybeif6x3vyojbldv4yp2jy3lh7kp2ktwom4at6tsx73yhcu4qilxbmpy/AF-Q3SRA3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xfEaF74D735fF168EC7797B4e35fC00B610187c3E
First NFT owner address (bech32): 
genesis1l6hhf4e4lutga3me0d8rtlqqkcgpslp74gp92m
Current NFT ID #244775 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
244775
Accession (UniProt):
Q3SRA3
Name::
Large-conductance mechanosensitive channel
Experimental Method:
Predicted structure
Sequence source:
Nitrobacter winogradskyi (strain ATCC 25391 / DSM 10237 / CIP 104748 / NCIMB 11846 / Nb-255)

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 Q3SRA3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3SRA3|MSCL_NITWN Large-conductance mechanosensitive channel OS=Nitrobacter winogradskyi (strain ATCC 25391 / DSM 10237 / CIP 104748 / NCIMB 11846 / Nb-255) OX=323098 GN=mscL PE=3 SV=1 MWKEFREFAMKGNVVDLAVGVIIGAAFGGIVSSMVADIIMPIVGAVTGGLDFSNYFLPLSESVNASNLSDAKKQGAVLAWGNFLTLTLNFLIVAFVLFMVIKGMNRLKRKDEAASAEPPKPTREEELLTEIRDLLKAKV