AlphaFold2's training set powers its predictions of fold-switched conformations.

AlphaFold2 (AF2), a deep-learning based model that predicts protein structures from their amino acid sequences, has recently been used to predict multiple protein conformations. In some cases, AF2 has successfully predicted both dominant and alternative conformations of fold-switching proteins, which remodel their secondary and tertiary structures in response to cellular stimuli. Whether AF2 has learned enough protein folding principles to reliably predict alternative conformations outside of its training set is unclear.

Proteins with alternative folds reveal blind spots in AlphaFold-based protein structure prediction.

In recent years, advances in artificial intelligence (AI) have transformed structural biology, particularly protein structure prediction. Though AI-based methods, such as AlphaFold (AF), often predict single conformations of proteins with high accuracy and confidence, predictions of alternative folds are often inaccurate, low-confidence, or simply not predicted at all. Here, we review three blind spots that alternative conformations reveal about AF-based protein structure prediction.

Parenting Concerns, Psychological Distress, and Relationship Adjustment Among Patients With Cancer and Their Partners: A Longitudinal Study.

Objective: Studies have found that cancer patients with dependent children exhibit high symptoms of anxiety, depression, and worry. Patients' parenting concerns can negatively impact their own and their family's adjustment to the cancer experience. However, relatively little is known about parenting concerns of partners of cancer patients, or associations between parenting concerns and couples' relationship adjustment.

Proteins with alternative folds reveal blind spots in AlphaFold-based protein structure prediction.

In recent years, advances in artificial intelligence (AI) have transformed structural biology, particularly protein structure prediction. Though AI-based methods, such as AlphaFold (AF), often predict single conformations of proteins with high accuracy and confidence, predictions of alternative folds are often inaccurate, low-confidence, or simply not predicted at all. Here, we review three blind spots that alternative conformations reveal about AF-based protein structure prediction.