Signal transduction proteins such as bacterial sensor histidine kinases, designed to transition between multiple conformations, are often ruled by unstable transient interactions making structural characterization of all functional states difficult. This study explored the inactive and signal-activated conformational states of the two catalytic domains of sensor histidine kinases, HisKA and HATPase. Direct coupling analyses, a global statistical inference approach, was applied to >13,000 such domains from protein databases to identify residue contacts between the two domains. These contacts guided structural assembly of the domains using MAGMA, an advanced molecular dynamics docking method. The active conformation structure generated by MAGMA simultaneously accommodated the sequence derived residue contacts and the ATP-catalytic histidine contact. The validity of this structure was confirmed biologically by mutation of contact positions in the Bacillus subtilis sensor histidine kinase KinA and by restoration of activity in an inactive KinA(HisKA):KinD(HATPase) hybrid protein.These data indicate that signals binding to sensor domains activate sensor histidine kinases by causing localized strain and unwinding at the end of the C-terminal helix of the HisKA domain. This destabilizes the contact positions of the inactive conformation of the two domains, identified by previous crystal structure analyses and by the sequence analysis described here, inducing the formation of the active conformation. This study reveals that structures of unstable transient complexes of interacting proteins and of protein domains are accessible by applying this combination of crossvalidating technologies.coevolution | signal transduction | two component system | protein structure prediction | biological physics P rotein-protein interaction is the essence of signal transduction and essential for protein function at all levels of life. Proteins are frequently required to undergo conformational transitions between multiple states characterized by unique transient residue interactions for each state. Attempts to describe features of these states depend upon techniques that investigate single molecules at sub-ms timescales (1), mechanically pull them (2), or quantify their dynamics (3). On the theoretical side, energy landscape theory provides a basis to understand protein folding and function (4), and atomically resolved simulations can describe transitions between multiple (native) conformations covering ms timescales on specialized supercomputers (5).Yet, despite all these advances, a full structural characterization of multiple conformations for a specific system remains a daunting task. Some states, active states in particular, are intrinsically short-lived and therefore difficult to stabilize for direct measurements or capture in a crystal lattice. By utilizing a strategy of integrating information from cross-disciplinary approaches, we show here that the shortcomings of individual techniques may be circumvented. By doing so, we introdu...