https://github.com/HongxinXiang/awesome-ai-bioinformatics

A curated list of awesome AI and Bioinformatics.
https://github.com/HongxinXiang/awesome-ai-bioinformatics

List: awesome-ai-bioinformatics

ai4science artificial-intelligence awesome bioinformatics computer-aided-drug-design computer-science drug-discovery

Last synced: 3 months ago
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A curated list of awesome AI and Bioinformatics.

• Host: GitHub
• URL: https://github.com/HongxinXiang/awesome-ai-bioinformatics
• Owner: HongxinXiang
• License: mit
• Created: 2022-08-28T14:30:39.000Z (about 2 years ago)
• Default Branch: master
• Last Pushed: 2023-03-05T01:28:35.000Z (over 1 year ago)
• Last Synced: 2024-05-23T03:01:52.473Z (6 months ago)
• Topics: ai4science, artificial-intelligence, awesome, bioinformatics, computer-aided-drug-design, computer-science, drug-discovery
• Homepage:
• Size: 1.27 MB
• Stars: 34
• Watchers: 1
• Forks: 12
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-artificial-intelligence - Awesome AI bioinformatics - A curated list of awesome AI and Bioinformatics. (Medicine)

README

        
![image](asset/logo.png)

[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/HongxinXiang/awesome-ai-bioinformatics)



    





This project aims to summarize the awesome research progress of AI+bioinformatics (e.g. molecules, proteins, mass spectrum, genes) from the perspective of computer science majors. Computer scientists tend to focus on data, tasks, and algorithms. Therefore, we use the logic of `data->task->algorithm` to summarize. 

This repository is an ongoing project, and we welcome more collaborators to join us! If you want to become a partner, please [contact us](mailto:[email protected]). If you want to contribute something, please feel free to [contribute](https://github.com/HongxinXiang/awesome-ai-bioinformatics/blob/master/CONTRIBUTE.md).

# News!

**[2022/12/01]** Added new chapter "[proteins](#proteins)".

**[2022/09/22]** Added new chapter "[molecular conformation generation](#molecular-conformation-generation)".

**[2022/09/19]** Added new chapter "[conferences](#conferences)", and more latest conference papers (including NeurIPS, ICLR, AAAI, KDD, CVPR, ICML, IJCAI, etc.) in the field of AI+bioinformatics will be included.

**[2022/08/28]** Project begining.

# Table of Contents

- [tutorials](tutorials/README.md)

- single-modal learning

  - [molecules](chapters/single-modal-learning/molecules)

    - [molecular property prediction](chapters/single-modal-learning/molecules/molecular-property-prediction)

    - [molecular conformation generation](chapters/single-modal-learning/molecules/molecular-conformer-generation)

    - [molecular generation and optimization](chapters/single-modal-learning/molecules/molecular-generation-and-optimization)

    - molecular synthesis and retrosynthesis

    - drug-drug-interaction (DDI)

    - molecular docking

  - [proteins](chapters/single-modal-learning/protein/)

    - [tasks and datasets](chapters/single-modal-learning/protein)

    - [methods](chapters/single-modal-learning/protein/overview)

- multi-modal learning

- [conferences](#conferences)

  - [NeurIPS 2022](conferences/NeurIPS-2022.md)

  - [ICLR 2023](conferences/ICLR-2023.md)

# single-modal learning

## molecules

### molecular property prediction

![Alt](./chapters/single-modal-learning/molecules/molecular-property-prediction/mindmap-mpp.png)

[Please click for more information.](chapters/single-modal-learning/molecules/molecular-property-prediction)

### molecular conformation generation

![Alt](./chapters/single-modal-learning/molecules/molecular-conformer-generation/mindmap-mcg.png)

[Please click for more information.](chapters/single-modal-learning/molecules/molecular-conformer-generation)

### molecular generation and optimization

[Please click for more information.](chapters/single-modal-learning/molecules/molecular-generation-and-optimization)

## proteins

[Please click for more information.](chapters/single-modal-learning/protein/overview)

# multi-modal learning

# conferences

## NeurIPS 2022

[Clink this for whole list.](conferences/NeurIPS-2022.md)

# Tutorials

[Clink this for whole list.](tutorials/README.md)