Antibody based bio-molecular drugs are an exciting, new avenue of drug development as an alternative to the more traditional small chemical compounds. However, the binding mechanism and the effect on the conformational ensembles of a therapeutic antibody to its peptide or protein antigen have not yet been well studied. We have utilized dynamic docking and path sampling simulations based on allatom molecular dynamics to study the binding mechanism between the antibody solanezumab and the peptide amyloid-β (Aβ). our docking simulations reproduced the experimental structure and gave us representative binding pathways, from which we accurately estimated the binding free energy. not only do our results show why solanezumab has an explicit preference to bind to the monomeric form of Aβ, but that upon binding, both molecules are stabilized towards a specific conformation, suggesting that their complex formation follows a novel, mutual population-shift model, where upon binding, both molecules impact the dynamics of their reciprocal one. With pathogen targeting antibodies being one of the key treatments in immunotherapy 1,2 , molecular recognition of an antibody to its antigen proteins or peptides has attracted great attention 3. Understanding the recognition mechanism provides crucial information for rational design of an antibody 4 , which could potentially be attained by studying the native binding configuration at atomistic resolution. Although X-ray crystallography is a powerful tool, the binding mechanism cannot be elucidated, as it is not possible to investigate the binding process via intermediary structures. In contrast, while molecular dynamics (MD) simulations offer the possibility to investigate the binding mechanism by studying the entire conformational space, they cannot reach the timescales that biologically interesting phenomena occur at. Enhanced MD simulation techniques such as multicanonical MD (McMD) 5-14 accelerate the dynamics while having the innate ability to re-obtain the canonical ensemble at a given temperature. This enables us to study phenomena such as the binding between molecules at atomistic resolution, not offered by either experimental methods or conventional MD simulations. Recently, docking using advanced MD, such as McMD, Replica Exchange MD 15 , Filling Potential 16 , Metadynamics 17 , Accelerated MD 18 and even Markov State Modelling of MD simulations 19 , has attracted much attention in the field of protein-drug interaction, where such methods have been coined dynamic docking 20. Currently, three basic models exist for the molecular recognition by antibodies; lock-and-key, conformational selection and induced fit 21-26. In the lock-and-key model, no conformational change of the antibody is required for the antigen to bind. On the other hand, for the conformational selection model, also known as the population-shift model, the two molecules only bind when the antibody is in a bound-like conformation before attempting to bind, leading to a population-shift. Finally, in the induced fi...