P37082 AF NFT

PTS system sorbose-specific EIIC component

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibk33gr3cbbkm6notcmxl63qft2dufuqw7mhbx4g5bd6yuehpezoq/metadata.json
IPFS of structure file: 
bafybeibj6iuw7qfhd4cokzab2zsbrccjijpu6sjm5yymastbohpavu6lgq/AF-P37082-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4B80f8908d007c3cE2AE745d1EFBC5f245DbAc0C
First NFT owner address (bech32): 
genesis1fwq03yydqp7rec4ww3w3a7797fzahtqvumsszz
Current NFT ID #319988 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
319988
Accession (UniProt):
P37082
Name::
PTS system sorbose-specific EIIC component
Experimental Method:
Predicted structure
Sequence source:
KLEBSIELLA PNEUMONIAE

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 P37082 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P37082|PTRC_KLEPN PTS system sorbose-specific EIIC component OS=Klebsiella pneumoniae OX=573 GN=sorA PE=2 SV=1 MEISTLQIIAIFIFSCIAGMGSVLDEFQTHRPLIACTVIGLILGDLKTGVMLGGTLELIALGWMNVGAAQSPDSALASIISAILVIVGHQSIAIGIAIALPVAAAGQVLTVFARTITVVFQHAADKAAEEARFRTIDLLHVSALGVQGLRVAIPALVVSLFVSADMVSSMLSAIPEFVTRGLQIAGGFIVVVGYAMVLRMMGVKYLMPFFFLGFLAGGYLDFSLLAFGGVGVIIALIYIQLNPQWRKAEPAASTAPSAPALDQLDD