Q4L3Q4 AF NFT

Putative proline/betaine transporter

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid53g4hrp2zxw4nlkzw6ap2v6ne7exzihsnodh4tcgphsok3vckuq/metadata.json
IPFS of structure file: 
bafybeib2urdws4pmvk33l43ae4i5yqgpkk2qeymo7hn75kk5zmqf3jyg2a/AF-Q4L3Q4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb1c9f54629255bE8b3D28b82eAf097a839342609
First NFT owner address (bech32): 
genesis1k8yl233fy4d73v7j3wpw4uyh4qungfsf8nwtkt
Current NFT ID #310919 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
310919
Accession (UniProt):
Q4L3Q4
Name::
Putative proline/betaine transporter
Experimental Method:
Predicted structure
Sequence source:
STAPHYLOCOCCUS HAEMOLYTICUS (STRAIN JCSC1435)

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 Q4L3Q4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4L3Q4|PROP_STAHJ Putative proline/betaine transporter OS=Staphylococcus haemolyticus (strain JCSC1435) OX=279808 GN=proP PE=3 SV=1 MDFKKDRINMVDGQTAKKTVFATGIGNAMEWFDFGVYAYTTAYIGANFFSPVQNPEIQQIFTFAALAIAFLLRPIGGIVFGIIGDKYGRKVVLTTTIILMALSTLTIGVLPNYDMIGLWAPALLLLARILQGFSTGGEYAGAMTYIAEISPDKKRNSLGSGLEIGTLSGYIAASIMIALLSFFLSDAQMEAWGWRIPFILGLFLGLFGLYLRRKLEESPIYENDVETPARDNIGFFTIIRYYFKDILVCFVAVVFFNVTNYTVTAYLPTYLGQIVKIDETTTSVLITCVMAVMIPLALFFGKLADKIGEKKVFLIGTGGLTLLSIVAFSLLNTKSLPFIILGVFILGFFLSTYEATMPGSLPTMFFTHIRYRTLAVTFNISVSLFGGTTPLVNSWLVESTGNIYAPAYYLTAISIIGFIVIAVLHVSTAGKSLKGSYPNVDNKKDLEFYESNPKKALWWIKVKKNKNA