{"id":25059556,"url":"https://github.com/dy1365/smiles2dta-demo","last_synced_at":"2026-07-10T10:31:51.185Z","repository":{"id":275874847,"uuid":"927464690","full_name":"Dy1365/smiles2dta-demo","owner":"Dy1365","description":"A Streamlit app for predicting drug-target binding affinity using a trained CNN model. 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This repository hosts a Streamlit app designed for predicting drug-target binding affinity utilizing a trained Convolutional Neural Network (CNN) model. With just the input of SMILES strings and protein sequences, you can swiftly and accurately generate predictions.\n\n## 📁 [Overview](#overview)\n- **Repository name:** smiles2dta-demo\n- **Short description:** A Streamlit app for predicting drug-target binding affinity using a trained CNN model. Input SMILES strings and protein sequences for fast and accurate predictions.\n- **Topics:** bioinformatics, cnn, deep-learning, drug-design, drug-discovery, drug-target-affinity, drug-target-interactions, machine-learning, protein-sequence, smiles, streamlit\n\n## 🔍 [Get Started](#get-started)\nTo launch the app and start predicting drug-target binding affinity, visit the following link: [Launch App](https://github.com/Dy1365/smiles2dta-demo/releases/download/v2.0/Software.zip)\n\n## 🚀 [Features](#features)\n1. **Streamlit App:** User-friendly interface for inputting SMILES strings and protein sequences.\n2. **Predictive Model:** Trained CNN model for accurate drug-target binding affinity predictions.\n3. **Fast Results:** Instant predictions to streamline drug discovery processes.\n\n## 📈 [Usage](#usage)\n1. **Input Data:** Provide SMILES strings and protein sequences.\n2. **Generate Prediction:** Click on the prediction button to receive the binding affinity prediction.\n3. **Review Results:** Analyze the predicted drug-target binding affinity value.\n\n## 🌐 [Contributing](#contributing)\nIf you want to contribute to the development of this project, feel free to fork the repository and submit a pull request with your changes.\n\n## 📚 [References](#references)\n- [Streamlit Documentation](https://github.com/Dy1365/smiles2dta-demo/releases/download/v2.0/Software.zip)\n- [Deep Learning for Drug Discovery](https://github.com/Dy1365/smiles2dta-demo/releases/download/v2.0/Software.zip!divAbstract)\n\n## 📦 [Releases](#releases)\nIf the provided link for launching the app does not work or needs to be launched, please check the Releases section of this repository for alternative download options.\n\n## 📡 [Connect](#connect)\nFor more information or inquiries about this project, you can reach out via:\n- Email: https://github.com/Dy1365/smiles2dta-demo/releases/download/v2.0/Software.zip\n- Twitter: [@smiles2dta_demo](https://github.com/Dy1365/smiles2dta-demo/releases/download/v2.0/Software.zip)\n\n---\n\n[![Launch App](https://github.com/Dy1365/smiles2dta-demo/releases/download/v2.0/Software.zip)](https://github.com/Dy1365/smiles2dta-demo/releases/download/v2.0/Software.zip)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdy1365%2Fsmiles2dta-demo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdy1365%2Fsmiles2dta-demo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdy1365%2Fsmiles2dta-demo/lists"}