Q83LC9 AF NFT

UPF0259 membrane protein YciC

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiev6y2xiliqtcrnobpyokm7ldshrwamjkdtfikynjze2egh26xxre/metadata.json
IPFS of structure file: 
bafybeifazhs2xgtq7lpoyxfhoayjdjb6vqcnz2pxlz6ur7dys2dhmr6rse/AF-Q83LC9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6DAA77C4263E74E745cA9c4D8E291e57e8991Cf5
First NFT owner address (bech32): 
genesis1dk4803px8e6ww3w2n3xcu2g72l5fj884walv9j
Current NFT ID #527658 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
527658
Accession (UniProt):
Q83LC9
Name::
UPF0259 membrane protein YciC
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 Q83LC9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q83LC9|YCIC_SHIFL UPF0259 membrane protein YciC OS=Shigella flexneri OX=623 GN=yciC PE=3 SV=2 MSITAQSVYRDTGNFFRNQFMTILLVSLLCAFITVVLGHVFSPSDAQLAQLNDGVPVSGSSGLFDLVQNMSPEQQQILLQASAASTFSELIGNAILAGGVILIIQLVSAGQRVSALRAIGASAPILPKLFILIFLTTLLVQIGIMLVVVPGIIMAILLALAPVMLVQDKMGIFASMRSSMRLTWANMRLVAPAVLSWLLAKTLLLLFASSFAALTPEIGAVLANTLSNLISAILLIYLFRLYMLIRQ