O83602 AF NFT

Uncharacterized protein TP_0593

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiglmetvlhsmvqkrqh445gcls7bfwe5j3kahrtpvwkb3li5za3nzq4/metadata.json
IPFS of structure file: 
bafybeieykr2u5kmbnxaljobzx4gb62g2k6dmc2i7vazemf6c3mgnlpuc5u/AF-O83602-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #519986 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
519986
Accession (UniProt):
O83602
Name::
Uncharacterized protein TP_0593
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 O83602 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O83602|Y593_TREPA Uncharacterized protein TP_0593 OS=Treponema pallidum (strain Nichols) OX=243276 GN=TP_0593 PE=4 SV=1 MHDARTFFMRGSCTYAHPVAIGRFFPLSSPTHTPQGTLMKSHGTMCSRNALLLPRRGAGLHVLTPRIREARPVNTGVKVILSLFATLVLMVGVFFCAPRASFAEFERHFYQPTVLSALSTNLREVSKASEAWHSRYRPLFSQFCALDAVRSSFDPAQKAEDITQRAREASALLSSVAGLKGVRIVEAQKPNIHFSTFESDVLLADSGSVTYRKYNAEEHDVPLQFLGEHSPEPKVIIDEYHDALLYSFPSLGNYGEYRGRILFYLSLRALGTHLIAENKLKITDSIVPLSADDYTFGGIVIGIPHEGVRSLKPSVLAEWKRKQFRVQTVRSEQHEDWALLSNASGAFVIAQAVPVLLFGFTPLTKGLVAMVAVVTTFLLVFQLLSLRQDPLTKLRDRLIHFHAQLLHSCLEQKESLEWEEVRTRLEHRRRETDAEMKKSLPRRLRIRRGRELDALLSKGWDDVFSTLEHGYGGARAMNRAQIEQLVREVLAQSLASGEAVLPVAMRADTADEELDEVLEELPDEAASLPSDSSPEEDLDPLEEVESIEGTAEESTREYAAAGDALLSKTPQLSTHSEYVPATLAELLGRNAEPGDVVRDSAVLEYIEGVFDYRPCCFYESHAVHDCLEVVTGEDGPSLSPMESIVSTEDGLFTIRVSKEEGNHLNRDFKALVDSVLY