Helices are the "hydrogen atoms" of biomolecular complexity; the DNA/RNA double hairpin and protein α-helix ubiquitously form the building blocks of life's constituents at the nanometer scale. Nevertheless, the formation processes of these structures, especially the dynamical pathways and rates, remain challenging to predict and control. Here, we present a general analytical method for constructing dynamical free-energy landscapes of helices. Such landscapes contain information about the thermodynamic stabilities of the possible macromolecular conformations, as well as about the dynamic connectivity, thus enabling the visualization and computation of folding pathways and timescales. We elucidate the methodology using the folding of polyalanine, and demonstrate that its α-helix folding kinetics is dominated by misfolded intermediates. At the physiological temperature of T = 298 K and midfolding time t = 250 ns, the fraction of structures in the native-state (α-helical) basin equals 22%, which is in good agreement with time-resolved experiments and massively distributed, ensemble-convergent molecular-dynamics simulations. We discuss the prominent role of β-strandlike intermediates in flight toward the native fold, and in relation to the primary conformational change precipitating aggregation in some neurodegenerative diseases.protein folding | misfolding intermediates I f there is one signature characteristic of biological macromolecules, it is the presence of helices. The double helix is the dominant feature of DNA and RNA, and, in proteins, the α-helix is the most ubiquitous structural motif. The formation and decay of α-helices play a pivotal role in protein folding (and misfolding). Indeed, even for proteins containing little native helical structure, helix formation, concomitant with hydrophobic collapse, seems to be a universal precursor of the folding process (1), much as the nonnative conversion of helical (or disordered) to β-strand-rich structures is the precursor to protein aggregation diseases such as Alzheimer's (2). Although the thermodynamics of such transformations was well understood beginning with the 1950s, the dynamical pathways and rates involved have remained an area of active research. Thus, relatively little was known about the associated kinetics until the end of the 1990s (3). With the advent of temperature-jump (T-jump) experimental techniques, the rates of the helix−coil transitions became readily measurable (4-6), whereas the progress in temporal resolution spanning both the nanosecond (7) and picosecond (8) regimes elucidated the early steps of folding/unfolding. Importantly, studies of the elementary steps accompanying such processes can now uncover the nature of kinetic-intermediate states, as well as their characteristic lifetimes (8, 9).Here, we introduce a statistical mechanical method of constructing dynamical free-energy landscapes of helices. The dynamical landscape allows folding pathways and rates to be visualized and computed in terms of elementary structural steps. For a r...