P0AAT5 AF NFT

Miniconductance mechanosensitive channel YbdG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifpyvkgirgcoxcv3kxvk36yfzhb5vexqjqszc7mfvlvqxdrecs5ku/metadata.json
IPFS of structure file: 
bafybeid2zhdcl775d7hu5vu6lxedu2ddbpkgcvei7eduzeoxpl426uj6cq/AF-P0AAT5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd4b26826943B18d73BEAc264FD887536a26907B8
First NFT owner address (bech32): 
genesis16jexsf558vvdwwl2cfj0mzr4x63xjpacz2hr3t
Current NFT ID #524797 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
524797
Accession (UniProt):
P0AAT5
Name::
Miniconductance mechanosensitive channel YbdG
Experimental Method:
Predicted structure
Sequence source:
SHIGELLA FLEXNERI

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 P0AAT5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0AAT5|YBDG_SHIFL Miniconductance mechanosensitive channel YbdG OS=Shigella flexneri OX=623 GN=ybdG PE=3 SV=1 MQDLISQVEDLAGIEIDHTTSMVMIFGIIFLTAVVVHIILHWVVLRTFEKRAIASSRLWLQIITQNKLFHRLAFTLQGIIVNIQAVFWLQKGTEAADILTTCAQLWIMMYALLSVFSLLDVILNLAQKFPAASQLPLKGIFQGIKLIGAILVGILMISLLIGQSPAILISGLGAMAAVLMLVFKDPILGLVAGIQLSANDMLKLGDWLEMPKYGADGAVIDIGLTTVKVRNWDNTITTIPTWSLVSDSFKNWSGMSASGGRRIKRSISIDVTSIRFLDEDEMQRLNKAHLLKPYLTSRHQEINEWNRQQGSTESVLNLRRMTNIGTFRAYLNEYLRNHPRIRKDMTLMVRQLAPGDNGLPLEIYAFTNTVVWLEYESIQADIFDHIFAIVEEFGLRLHQSPTGNDIRSLAGAFKQ