The homotetrameric influenza A M2 channel (AM2) is an acidactivated proton channel responsible for the acidification of the influenza virus interior, an important step in the viral lifecycle. Four histidine residues (His37) in the center of the channel act as a pH sensor and proton selectivity filter. Despite intense study, the pH-dependent activation mechanism of the AM2 channel has to date not been completely understood at a molecular level. Herein we have used multiscale computer simulations to characterize (with explicit proton transport free energy profiles and their associated calculated conductances) the activation mechanism of AM2. All proton transfer steps involved in proton diffusion through the channel, including the protonation/deprotonation of His37, are explicitly considered using classical, quantum, and reactive molecular dynamics methods. The asymmetry of the proton transport free energy profile under high-pH conditions qualitatively explains the rectification behavior of AM2 (i.e., why the inward proton flux is allowed when the pH is low in viral exterior and high in viral interior, but outward proton flux is prohibited when the pH gradient is reversed). Also, in agreement with electrophysiological results, our simulations indicate that the C-terminal amphipathic helix does not significantly change the proton conduction mechanism in the AM2 transmembrane domain; the four transmembrane helices flanking the channel lumen alone seem to determine the proton conduction mechanism.ion channel | proton conduction | multiscale modeling | QM/MM | free-energy sampling V isualizing the vectorial flow of protons through membrane proteins is a long-standing challenge in biophysics and chemistry, with manifold implications for understanding bioenergetics, active transport, and proton channel function. Multiscale modeling has become a full partner with experimental structural biology in addressing proton transport (PT), because it can connect the dots between the high-resolution but static pictures obtained from crystallography and the lower-resolution but dynamically informed structures seen in the ensemble averages by NMR and other spectroscopic approaches. In general, multiscale modeling connects three or more disparate but coupled scales of behavior. In the case of PT in proteins, there are usually four pertinent scales: (i) the quantum mechanical scale of bond breaking and bond making inherent in the Grotthuss proton shuttle mechanism; (ii) the molecular scale of the dynamical motions of the protein, membrane, ions, and water molecules; (iii) the "free energy" scale that arises from the statistical ensemble averaging of those molecular motions; and (iv) the "transport" scale that manifests as a macroscopic conductance, with associated gating and other possible behaviors tied to macroscopic experimental variables. The proper and rigorous connection of these various scales, in an overall multiscale computational simulation, is often a substantial challenge. Here, we turn our attention to understanding the me...