From 7dbb0305ea6a73d963517a8f2c7f3fe861b96a0f Mon Sep 17 00:00:00 2001
From: ACID Design Lab <82499756+acid-design-lab@users.noreply.github.com>
Date: Sat, 8 Jun 2024 01:18:41 +0300
Subject: [PATCH] Update README.md

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 # DataCon 3.0. Design a Peptide Vector for Drug Delivery
 
 <img src="https://t3.ftcdn.net/jpg/04/87/14/48/360_F_487144857_lwRd6hyeEktmt70UOAgojHzlwvY6OgQp.jpg" alt="drawing" width="1000"/>
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 ### What are CPPs?
 
-   **Cell-penetrating peptides (CPPs)** are short sequences of amino acids that have the remarkable ability to cross cellular membranes, facilitating the intracellular delivery of various therapeutic agents, including drugs, nucleic acids, and proteins. These peptides exploit mechanisms such as direct penetration or endocytosis to traverse cell membranes, making them powerful tools in drug delivery systems. 
+   **Cell-penetrating peptides (CPPs)** <div style="text-align: justify"> are short sequences of amino acids that have the remarkable ability to cross cellular membranes, facilitating the intracellular delivery of various therapeutic agents, including drugs, nucleic acids, and proteins. These peptides exploit mechanisms such as direct penetration or endocytosis to traverse cell membranes, making them powerful tools in drug delivery systems. </div>
 
 <img src="https://github.com/acid-design-lab/DataCon24/assets/82499756/2f5822f6-cac3-492f-9a73-40b3d3e60b3e" alt="drawing" width="500"/>
 
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 ### Membrane permeability prediction
 
    For so-called stapled peptides consisting of both natural and modified amino acids you can predict membrane permeability using [STAPEP package](https://github.com/dahuilangda/stapep_package) offering the full pipeline from data preprocessing to ML model development and use on novel samples.
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-</div>