Update README.md

README.md

@@ -14,6 +14,8 @@
 
 ### Project pipeline
 
+![ml-project-pipeline](https://github.com/acid-design-lab/DataCon24/assets/82499756/fe94406a-eaf2-46c0-8935-82e1fc4192ca)
+
    Our ultimate goal is to develop precise machine learning (ML) model allowing to **design CPPs with superior activity**. Here are the main steps which will allow you to build a precise model for CPP design:
    
    **1. Data curation and cleaning.** All inappropriate or ambiguous data should be removed or corrected.
@@ -30,8 +32,6 @@
    
    **7. Project design.** All results should be structured and systematized on GitHub for transparency and reproducibility.
 
-   ![ml-project-pipeline](https://github.com/acid-design-lab/DataCon24/assets/82499756/fe94406a-eaf2-46c0-8935-82e1fc4192ca)
-
 ### Challenges
 
    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.