Q99VQ4 AF NFT

Lipoteichoic acid synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib5yts2wxsvdrksjtenp4lsusp2pnn5ry2g7x72dh4vkuyp3ays6q/metadata.json
IPFS of structure file: 
bafybeicvvybu2i2vrdzhn7o5ftfyq5nthuxde4ind4xzx5zwobesu7xzdm/AF-Q99VQ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1054D383f4695fc7A5ecBD5BcA9BBC5F2f88B6c0
First NFT owner address (bech32): 
genesis1zp2d8ql5d90u0f0vh4du4xautuhc3dkqwwdn0u
Current NFT ID #221066 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
221066
Accession (UniProt):
Q99VQ4
Name::
Lipoteichoic acid synthase
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 Q99VQ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q99VQ4|LTAS_STAAM Lipoteichoic acid synthase OS=Staphylococcus aureus (strain Mu50 / ATCC 700699) OX=158878 GN=ltaS PE=3 SV=1 MSSQKKKISLFAFFLLTVITITLKTYFSYYVDFSLGVKGLVQNLILLMNPYSLVALVLSVFLFFKGKKAFWFMFIGGFLLTFLLYANVVYFRFFSDFLTFSTLNQVGNVESMGGAVSASFKWYDFVYFIDTLVYLFILIFKTKWLDTKAFSKKFVPVVMAASVALFFLNLAFAETDRPELLTRTFDHKYLVKYLGPYNFTVYDGVKTIENNQQKALASEDDLTKVLNYTKQRQTEPNPEYYGVAKKKNIIKIHLESFQTFLINKKVNGKEVTPFLNKLSSGKEQFTYFPNFFHQTGQGKTSDSEFTMDNSLYGLPQGSAFSLKGDNTYQSLPAILDQKQGYKSDVMHGDYKTFWNRDQVYKHFGIDKFYDATYYDMSDKNVVNLGLKDKIFFKDSANYQAKMKSPFYSHLITLTNHYPFTLDEKDATIEKSNTGDATVDGYIQTARYLDEALEEYINDLKKKGLYDNSVIMIYGDHYGISENHNNAMEKLLGEKITPAKFTDLNRTGFWIKIPGKSGGINNEYAGQVDVMPTILHLAGIDTKNYLMFGTDLFSKGHNQVVPFRNGDFITKDYKYVNGKIYSNKNNELITTQPADFEKNKKQVEKDLEMSDNVLNGDLFRFYKNPDFKKVNPSKYKYETGPKANSKK