P96064 Putative 2-aminoethylphosphonate transport system permease protein PhnU MolNFT, Molecular NFT on GenesisL1

Putative 2-aminoethylphosphonate transport system permease protein PhnU

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeibwsyoftz7drvihbyw6rejg3vhb76np5zco5vmxuryrq4a4gfvide/metadata.json

IPFS of structure file:

bafybeidzu3vhg6cbksmiyf36jpuui2lfrxuk4lo26w7cuchyao2zuwlubm/AF-P96064-F1-model_v2.pdb

First NFT owner address (eip-55):

0x025f3b1a898b05AD2731bE6Ab72687b5920c4A3F

First NFT owner address (bech32):

genesis1qf0nkx5f3vz66fe3he4twf58kkfqcj3lqjrpt3

Current NFT ID #298261 owner (web3):

0xACf562eCE43b1086A6879785600A6F1cd3014BB9

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
298261
Accession (UniProt):
P96064
Name::
Putative 2-aminoethylphosphonate transport system permease protein PhnU
Experimental Method:
Predicted structure
Sequence source:
SALMONELLA TYPHIMURIUM (STRAIN LT2 / SGSC1412 / ATCC 700720)

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 P96064 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P96064|PHNU_SALTY Putative 2-aminoethylphosphonate transport system permease protein PhnU OS=Salmonella typhimurium (strain LT2 / SGSC1412 / ATCC 700720) OX=99287 GN=phnU PE=2 SV=1 MSLILPLEKPALNLRPLLWLLLPLLVLATLFFWPLSLIVEQALRGANGEIGLETFRQVVDSKRFVGALLNTLQIAFFATAGCLLLGSVMSLILVFIPFPGSELIGRVVDTFIALPTFLITLAFTFIYGSAGLLNGTLMSLFAFELPPVDFLYSMQGVILAEITVFTPLVMRPLMAALRQIDKSQLEAASILGAHPLRVIGQVIFPAALPALMAGGSLCLLLTTNEFGIVLFIGAKGVNTLPMMVYSKAILESDYTVACMIALINIVLSLGLFSLYRLAASRTGVRS

P96064 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P96064 research and analysis (ICN3D with VR)

FASTA sequences

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