Science's 2021 Breakthrough of the Year: AI-Powered Protein Prediction

For nearly 50 years, scientists have struggled to solve one of nature’s most perplexing challenges - predicting the complex 3D shape a string of amino acids will fold into as it becomes a working protein. This year, scientists have shown that artificial intelligence (AI)-driven software can achieve this long-standing goal and predict accurate protein structures by the thousands. To honor this feat, Science has named AI-powered protein prediction as its 2021 breakthrough of the year.

"This is a breakthrough on two fronts," writes Science Editor-in-Chief Holden Thorp in a related Editorial. "First, it solves a scientific problem that has been on the to-do list for 50 years... Second, it's a game-changing technique that, like CRISPR or cryo-EM, will greatly accelerate scientific discovery." Proteins are the building blocks of life and their functions - central to nearly all biological processes - are directly related to their three-dimensional shape. Once, determining a protein’s structure was a time consuming and costly processes, requiring complicated lab analyses. And, while attempts to develop computer models capable of solving the "protein-folding problem" have been ongoing for decades, accurate protein prediction has eluded researchers until two seminal papers, published simultaneously in Nature and Science, presented AlphaFold and RoseTTA-fold, respectively. Both approaches demonstrate the ability to predict a wide variety of complex protein structures quickly and accurately based solely on the amino acids they contain. What’s more, the authors of both groups made their data freely available to researchers, greatly expanding the accessibility of obtaining protein structures.

Runners up for the Breakthrough of the Year include the development of antiviral pills to fight COVID-19, new measurements of the muon, seismic observations from Mars, recovering ancient human DNA from soils, in vivo application of CRISPR, new insights into early human development, use of psychedelic drugs to treat PTSD, development of lab-made monoclonal antibodies for treating infectious disease, and advancements in fusion energy generation.

Thorp HH.
Proteins, proteins everywhere.
Science. 2021 Dec 17;374(6574):1415. doi: 10.1126/science.abn5795

Most Popular Now

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...