Biomolecules are the prime information processing elements of living matter. Most of these
inanimate systems are polymers that compute their own structures and dynamics using as …

As was noted in our recent review, 1 the protein folding field underwent a cyclic
development. Initially, protein folding was viewed as a strictly experimental field belonging to …

The recent availability of long equilibrium simulations of protein folding in atomistic detail for
more than 10 proteins allows us to identify the key interactions driving folding. We find that …

This article introduces a special issue on the interaction between the rapidly expanding field
of machine learning and ongoing research in physics. The first half of the papers in this …

Protein dynamics take place on many time and length scales. Coarse‐grained structure‐
based \bf(G\overlineo) models utilize the funneled energy landscape theory of protein …

Protein folding has been viewed as a difficult problem of molecular self-organization. The
search problem involved in folding however has been simplified through the evolution of …

Conformational heterogeneity in proteins is known to often be the key to their function. We
present a coarse grained model to explore the interplay between protein structure, folding …

A large range of debilitating medical conditions is linked to protein misfolding, which may
compete with productive folding particularly in proteins containing multiple domains …

The frustratometer is an energy landscape theory-inspired algorithm that aims at quantifying
the location of frustration manifested in protein molecules. Frustration is a useful concept for …

Energy–landscape theory has led to much progress in protein folding kinetics, protein
structure prediction and protein design. Funnel landscapes describe protein folding and …