Artificial intelligence (AI) has increasingly gained attention in bioinformatics research and computational molecular biology. With the availability of different types of AI algorithms, it has become common for the researchers to apply the off-shelf systems to classify and mine their databases. At prese...
Artificial intelligence (AI) finds a wide scale application in the science of biology. Modern artificial intelligence will dominate biological data science for its unpreceded learning capabilities to process complex data. Compared to traditional AI techniques (e.g. automated reasoning), machine learning...
In recent years, computational methods and artificial intelligence approaches have proven uniquely suited for studying patterns in molecular biology. In this focus issue, we spoke with researchers about using these tools to address various biological questions and explore both current implications and futur...
“I didn’t think we would get to this point in my lifetime.” That’s how one research leader in structural biology responded to last week’s publication of research in which artificial intelligence (AI) was used to predict the structure of more than 20,000 human proteins, as well as ...
Despite significant progress, modern biology research is facing a huge bottleneck in its development due to lack of revolutionary theoretical frameworks. The rapid development of artificial intelligence (AI) based on big data and deep learning is spurring “Biology V3.0”—Artificial intelligence biology...
Breaking the Bottleneck: On-Demand Biology in the Age of AI Artificial Intelligence Test-Time Scaling Improves Speed and Success of AI-Based Antibody Design Upcoming Strategies for Implementing and Optimizing Informatics and AI for Drug Discovery ...
Artificial intelligence (AI) has gained widespread public interest in recent years. However, as AI literacy remained excluded from the standard academic curricula, AI education in the US was predominantly offered through extra-curricular activities, which limited AI learning exposure to only a select ...
Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. Methods ranging from convolutional neural networks to variational autoencoders have found myriad applications in the medical image analysis field, propelling it forward at a ...
Sign in to set up alerts select article Editorial overview: Artificial intelligence (AI) methodologies in structural biology EditorialNo access Editorial overview: Artificial intelligence (AI) methodologies in structural biology Feixiong Cheng, Nurcan Tuncbag ...
The special collection “AI Methods Applied to Biophysical and Structural Biology Problems” showcases how artificial intelligence (AI) is reshaping the way we study and understand complex biological systems. This collection of articles highlights the growing role of AI in addressing longstanding challenge...