O83575 AF NFT

Uncharacterized protein TP_0564

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicvsw742jiyrme4advdcilgqpwpuzjm2zj5ldcmdr6mvhj3nakipy/metadata.json
IPFS of structure file: 
bafybeie5qccd4v37t7cj3zpvuokv7y7aovc3zpzkda4vqibyhssh2fo3q4/AF-O83575-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9fFEC9A36A4053E618f9aD1FAbEC43F9A9D4f3CE
First NFT owner address (bech32): 
genesis1nllvngm2gpf7vx8e4506hmzrlx5afu7wkrfgpe
Current NFT ID #519668 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
519668
Accession (UniProt):
O83575
Name::
Uncharacterized protein TP_0564
Experimental Method:
Predicted structure
Sequence source:
TREPONEMA PALLIDUM (STRAIN NICHOLS)

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 O83575 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O83575|Y564_TREPA Uncharacterized protein TP_0564 OS=Treponema pallidum (strain Nichols) OX=243276 GN=TP_0564 PE=4 SV=1 MTRVCRALLFVLCGIFVHAQENELHFFGPRTDVLVVFTASREAQERETRAVQQLRLLVQDFEHQTPDVSVLVAITAHDHPPVPDFVPVDRLTGTKKLISLISSYKAPIVLILDETTGPPRLHTGAHRTVCPPWLLQAVYQHLTSHHVPIRYRDFDAILHRLGWLHEDPRHALYIKEHIPAVRMENSLYPPGALHTLPALLTQVYSEEWDTHYVSVSYGGTLYLIREQFFVILILGAVITLLLSLAIFSFLSDSRKRHYWNTILAMWWLPAILGVLSVCSVFVATQLTALFFLIRFGTHTSTGALPLLALIVKHSIAIALSCVCMANSKTIRDSMLHNGFIGGYLASTLCLLYAVLFSVIDFSLSAVFALEYALSLVFFSAQRKTTRRIMLAMMFLLFAPFLYAYLKNSAVTAPLSFHQSNVFFALGCVPFMLFMLTLFFEREKSHPRIPFIRRRNLLLSGALLTVLVINGVLWSVSLSSTRIPQEITACYRISERGLTLSLHSPLPIPRHIRARTHARLSTAEIQKAQDHLQISMDSRSYFGGRINVLEVRSQLRAQAIELRITSPHGTAAYEADRPFTRLEQGSVVRFISQARPPLPFTVTFSGDQNSTMQVQATVWTYDNPLQDAPPVMQDTTVRFIPMFELTRDVLFPSPSSQGVHATPEKNACIRDETVPNLQE