Q8Y9U6 AF NFT

Putative sugar uptake protein lmo0424

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicygbk5ntt7ha4d2kwpvsnzxsj3xy4b6g7rzaf3c7c444ggtsqezi/metadata.json
IPFS of structure file: 
bafybeibfccetwtf3zzunez7f2s3b32bcpn437ac25wxt6cloyg5sueeqg4/AF-Q8Y9U6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0FaaD3fBa5c3c3BDB4B7FcB93FbBE64552D63Ea8
First NFT owner address (bech32): 
genesis1p74d87a9c0pmmd9hljunlwlxg4fdv04gmccunh
Current NFT ID #517277 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
517277
Accession (UniProt):
Q8Y9U6
Name::
Putative sugar uptake protein lmo0424
Experimental Method:
Predicted structure
Sequence source:
LISTERIA MONOCYTOGENES SEROVAR 1/2A (STRAIN ATCC BAA-679 / EGD-E)

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 Q8Y9U6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8Y9U6|Y424_LISMO Putative sugar uptake protein lmo0424 OS=Listeria monocytogenes serovar 1/2a (strain ATCC BAA-679 / EGD-e) OX=169963 GN=lmo0424 PE=3 SV=1 MSIYLIALLPVLGWGFMPIIANLRKSTPEEQLLGTSISALLFALILFWILSPEITVLSFIVSFISGIFWSFGQLLQFKGIAASSVAKAMPISNGTQLVGATLFAVLVFREWQTVTAVIIGVVAVILILIGVVMTGFQKRGNHITESVSFHVYGIVILSSFFLTLYVVTNQLFDVTGFSIILPQAIGMLTCAIGINLAKKTAISRKNVTFNLMTGLSWSIANLGMFLATAVLGVATSFSISQACVIVATIGGILIFKQKKSPLEWTFILSGILLIMVGVVFLSLLK