Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to
a readily accessible tool for cancer researchers. AI-based tools can boost research …

Enzymes can be engineered at the level of their amino acid sequences to optimize key
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …

Abstract The AlphaFold Database Protein Structure Database (AlphaFold DB,
https://alphafold. ebi. ac. uk) has significantly impacted structural biology by amassing over …

Prediction-powered inference is a framework for performing valid statistical inference when
an experimental dataset is supplemented with predictions from a machine-learning system …

We are now entering a new era in protein sequence and structure annotation, with hundreds
of millions of predicted protein structures made available through the AlphaFold database …

Adapting language models to protein sequences spawned the development of powerful
protein language models (pLMs). Concurrently, AlphaFold2 broke through in protein …

The rapid evolution of viruses generates proteins that are essential for infectivity and
replication but with unknown functions, due to extreme sequence divergence. Here, using a …

Biology spans a continuum of length and time scales. Individual experimental methods only
glimpse discrete pieces of this spectrum but can be combined to construct a more holistic …

We investigate a fundamental aspect of machine vision: the measurement of features by
revisiting clustering one of the most classic approaches in machine learning and data …

Summary Here, we describe" obelisks," a class of heritable RNA elements sharing several
properties:(1) apparently circular RNA∼ 1 kb genome assemblies,(2) predicted rod-like …