Structures of coronavirus spike proteins complexed with the antibody.
Artificial Intelligence
Machine Learning

How to use Artificial Intelligence in Biology and Research?

Artificial intelligence (AI) is increasingly being used in biology to automate and simplify image analysis, predict protein structures, drug discovery, and even speed up writing and data analysis. AI can help you boast your performance in your research growth. Here are important tools and resources for you speed up your research journey.

How to use Artificial Intelligence (AI) for Research in Biology?

Artificial Intelligence or AI is powerful technology which is advancing super fast. AI has become ubiquitous in daily life and has been applied to diverse areas of biology. However, usage of AI is limitless. You can use AI in Biology for your research by using freely available models or training your own models

  1. Drug Discovery (e.g., AlphaFold generated protein structures)
  2. Finding biomolecular relationships (e.g., MiRTeX )
  3. Article writing and research review process (e.g., Consensus App, ChatGPT)
  4. Data analysis and information extraction (by building simple AI models)

AI Powered Resources for Research

Here are latest AI websites which can help you in your research review process

1. Consensus.App

Consensus.app has trained and fine tuned its AI to provide better results than google scholar. It provides results along with citations and other useful information to help you pick up right resource.

2. Perplexity.AI

Perplexity.AI is not very specific to research, however built on Generative Pre-trained Transformers, it helps in filtering larger queries to get specific results by contextual search.

3. ChatGPT

ChatGPT (most recent version 4) from OpenAI being a very large language model, is not suitable for research as it might output wrong and results without fine-tuning. However, it is still helpful in providing overview of the research review process. ChatGPT is a member of Generative Pre-trained Transformer (GPT) family language model and uses deep learning RNN algorithm.

4. Google's Bard

Google's DeepMind's success since 2018 is well known for its AlphaFold model which has solved thousands of protein structures and are available for public usage. BARD from Google is partially integrated with Google Search Engine . Having got training on much larger parameters and giant resource infrastructure, it is going to prove a better assistant than existing AI models. Google's BARD uses transfer learning method.

5. Scholarcy Article Summarizer

Scholarcy article summarizer is online based tool for providing instant article summary power by Artificial Intelligence based algorithm to assist in summarizing longer text or an article on a website. It provides interface to summarize using webpage link or by uploading your own document.

6. Litmaps App

Litmaps app is helpful in finding research gaps in your research articles using your favourite library like Mendeley, Endnote, Paperpile, or Zotero. It is easy to find the research gap from in your research and aggregating related articles for listing the gaps.

With enormous growth and development in the field of AI the tools might be helpful in the research.