Update README.md

README.md

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-# ESMFold - Evolutionary-scale prediction of atomic-level protein structure with a language model
+# ESMFold - Evolutionary-scale Prediction of Atomic-level Protein Structure with a Language Model
 
-This repository project is a python base application which utilize the ESMFold model to predict protein structures. ESMfold is an end-to-end single sequence protein structure predictor based on the ESM-2 language model. Data model and the application is based on works by metaAI ESM project.
+## Overview
 
-### Prerequisites
+ESMFold is a Python-based application designed for predicting protein structures using the ESMFold model. This model is an end-to-end single sequence protein structure predictor built on the ESM-2 language model. The code in this repository is inspired by the works of the MetaAI ESM project.
+
+## Prerequisites
+
+Before using the ESMFold Protein Structure Predictor, make sure you have the following dependencies installed:
+
+```bash
+pip install streamlit stmol py3Dmol requests biotite
+```
+## Usage
+
+  1. Clone the repository:
+```bash
+git clone https://github.com/your-username/ESMFold.git
+cd ESMFold
+```
+
+  2. Install dependencies:
+   ```bash
+pip install -r requirements.txt
+  ```
+
+  3. Run the application:
+  ```bash
+streamlit run esmfold_app.py
+```
+  4. Open your browser and navigate to the provided URL.
+
+## Features
+
+  Protein Sequence Input: Enter the protein sequence of interest using the sidebar text area.
+
+  Prediction: Click the "Predict" button to initiate the prediction of the protein structure.
+
+  3D Visualization: The predicted protein structure is visualized in 3D using the Py3Dmol library. Rotate and zoom functionalities are available.
+
+  Confidence Score: The per-residue confidence score (pLDDT) is displayed, indicating the confidence in the prediction.
+
+  Download PDB File: Download the predicted protein structure in PDB format.
+
+## Additional Information
+
+  The ESMFold model is an end-to-end single sequence protein structure predictor based on the ESM-2 language model. The model and this app are inspired by the Meta AI ESMfold. For more information, refer to Meta AI's blog post.