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<img src="https://t3.ftcdn.net/jpg/04/87/14/48/360_F_487144857_lwRd6hyeEktmt70UOAgojHzlwvY6OgQp.jpg" alt="drawing" width="1000"/>
**About the project** :information_source:
## About the project :information_source:
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**7. Project design.** All results should be structured and systematized on GitHub for transparency and reproducibility.
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### 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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### What do you need to do? :computer:
<ins>**1. Choose the tasks.**</ins> Sequence classification, uptake quantitative prediction, or sequence generation.
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- structure, debug, and prettify the code
- ensure all dependencies needed for correct code work are listed in requirements.txt
### Schedule :calendar:
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## Schedule :calendar:
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 :open_book:
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## 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)
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## Data description :floppy_disk:
### 1. Mixed CPPs

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