Q99VK3 AF NFT

Probable protein-export membrane protein SecG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic2bejcz6wfc6zka6dl7brvas7rdwfrrw4gslpd6u7kg4ievj23hq/metadata.json
IPFS of structure file: 
bafybeibf4kakvjfm4ji6daw3hdst63qfsjlhbouy2ug2i5cd66i7kq27a4/AF-Q99VK3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA564e95528793a1E44F1D6c5FB495b396438598E
First NFT owner address (bech32): 
genesis154jwj4fg0yapu3836mzlkj2m89jrskvwzkdc25
Current NFT ID #424955 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
424955
Accession (UniProt):
Q99VK3
Name::
Probable protein-export membrane protein SecG
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS AUREUS (STRAIN MU50 / ATCC 700699)

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 Q99VK3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q99VK3|SECG_STAAM Probable protein-export membrane protein SecG OS=Staphylococcus aureus (strain Mu50 / ATCC 700699) OX=158878 GN=secG PE=3 SV=1 MHTFLIVLLIIDCIALITVVLLQEGKSSGLSGAISGGAEQLFGKQKQRGVDLFLNRLTIILSILFFVLMICISYLGM