Inspired by the biological processes of molecular recognition and transportation across
membranes, nanopore techniques have evolved in recent decades as ultrasensitive …

Water solubility and structural stability are key merits for proteins defined by the primary
sequence and 3D-conformation. Their manipulation represents important aspects of the …

ColabFold offers accelerated prediction of protein structures and complexes by combining
the fast homology search of MMseqs2 with AlphaFold2 or RoseTTAFold. ColabFold's 40− 60 …

Abstract Information in proteins flows from sequence to structure to function, with each step
causally driven by the preceding one. Protein design is founded on inverting this process …

De novo design of complex protein folds using solely computational means remains a
substantial challenge. Here we use a robust deep learning pipeline to design complex folds …

Since its public release in 2021, AlphaFold2 (AF2) has made investigating biological
questions, by using predicted protein structures of single monomers or full complexes, a …

Designing efficient enzymes is a formidable challenge at the forefront of modern
biocatalysis. Here, we review recent developments in the field and illustrate how the …

Protein design has come of age, but how will it mature? In the 1980s and the 1990s, the
primary motivation for de novo protein design was to test our understanding of the …

Native mass spectrometry (nMS) has emerged as an important tool in studying the structure
and function of macromolecules and their complexes in the gas phase. In this review, we …

Protein sequence design is critically important for protein engineering. Despite recent
advancements in deep learning-based methods, achieving accurate and robust sequence …