Q32J95 AF NFT

Uncharacterized protein YlbG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeievtg4e3ihiii76abkwlovt3iqcp53nloq5xipjer3zkueaf7gccu/metadata.json
IPFS of structure file: 
bafybeiai2wnggvgyompjslbppozgsaujifptjavg3zl3fpshmukxxv3wwq/AF-Q32J95-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAF1f6377a0B1Dd116Ba7B2243519F067d46ef767
First NFT owner address (bech32): 
genesis14u0kxaaqk8w3z6a8kgjr2x0svl2xaam88rhfxq
Current NFT ID #534292 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
534292
Accession (UniProt):
Q32J95
Name::
Uncharacterized protein YlbG
Experimental Method:
Predicted structure
Sequence source:
Shigella dysenteriae serotype 1 (strain Sd197)

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 Q32J95 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q32J95|YLBG_SHIDS Uncharacterized protein YlbG OS=Shigella dysenteriae serotype 1 (strain Sd197) OX=300267 GN=ylbG PE=4 SV=2 MLHTANPVIKHKAGLLNLAEELSNVSKACKIMGVSRDTFYRYRELVAEGGVDAQINRSRRAPNLKNRTDEATEQAVVDYAVAFPTHGQHRASNELRKQGVFISDSGVRSVWLLHNLENLKRRY