Update README.md

README.md

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 ![Project logo](https://t3.ftcdn.net/jpg/04/87/14/48/360_F_487144857_lwRd6hyeEktmt70UOAgojHzlwvY6OgQp.jpg)
 
-## About the project
+## About the project :information_source:
 
 ### What are CPPs?
 
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    In real-world medical applications, CPPs are being leveraged to enhance the efficacy of treatments for a range of conditions. For instance, they are used in targeted cancer therapies to deliver chemotherapeutic agents directly to tumor cells, minimizing damage to healthy tissues. Additionally, CPPs are employed in gene therapy to transport genetic material into cells, offering potential treatments for genetic disorders like cystic fibrosis and muscular dystrophy. Their versatility and efficiency in overcoming cellular barriers position CPPs as a promising frontier in the development of advanced therapeutic strategies.
 
-### Project pipeline
+### Project pipeline :arrow_forward:
 
 ![ml-project-pipeline](https://github.com/acid-design-lab/DataCon24/assets/82499756/fe94406a-eaf2-46c0-8935-82e1fc4192ca)
 
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    **7. Project design.** All results should be structured and systematized on GitHub for transparency and reproducibility.
 
-### Challenges
+### Challenges :trophy:
 
    The main challenge here is to develop **unbiased model** not limited to existing CPP structures and cell penetration mechanisms. Another challenge is to develop CPPs **for particular drug delivery system and setup**, which includes multi-property optimization (amphiphilicity, molecular weight, toxicity etc.). Finally, models should be **interpretable**, which means user should know why particular CPP demonstrates its activity, and what are the possible ways to improve it further.
 
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    DataCon 3.0 includes not only practices but authoritative lectures and other activities, therefore check for any schedule updates [HERE](https://scamt.ifmo.ru/datacon/).
 
-### Contents
+### Contents :open_book:
 
    This repository contains the following data:
    1. **Articles about CPPs** to read (see the relevant folder)
    2. **Available datasets** for model development (see **Data Description** section)
    3. **Useful tools** for property and structure prediction (see **Useful tools** section and relevant folder)
 
-## Data description
+## Data description :desktop_computer:
 
 ### 1. Mixed CPPs
    
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        Contains a list of abbreviations for modified amino acids  in .txt format (ABBREVIATION: NAME; ...: ...).
 
 
-## Useful tools
+## Useful tools :bookmark_tabs:
 
 ### Structure prediction