Q83LF3 AF NFT

UPF0757 protein YmgG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigyy57hiyrr7fecha27r7tafe5zuw5rncy5htapdvb4t4hme3nz6e/metadata.json
IPFS of structure file: 
bafybeifblhna26ynrkfgehadz2mdyiqz6xqux2owhwodyaspb2gxzzhmue/AF-Q83LF3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x42ecB8072B2C3513c11CD85C6C3882804a14dAeE
First NFT owner address (bech32): 
genesis1gtktspet9s638sgumpwxcwyzsp9pfkhwjlxcza
Current NFT ID #534768 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
534768
Accession (UniProt):
Q83LF3
Name::
UPF0757 protein YmgG
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 Q83LF3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q83LF3|YMGG_SHIFL UPF0757 protein YmgG OS=Shigella flexneri OX=623 GN=ymgG PE=3 SV=5 MKKKILAFGLISALFCSTPAMADMNRTTKGALLGAGVGLLTGNGVNGVLKGAAVGAGVGAVTEKGRDGKNARKGAKVGAAVGAVTGVLTGNGLEGAIKGAVIGGTGGAILGKMK