The emergence of the unique H1N1 influenza A virus in 2009 resulted in a pandemic that has spread to over 200 countries. The constellation of molecular factors leading to the emergence of this strain is still unclear. Using a computational approach, we identified molecular determinants that may discriminate the hemagglutinin protein of the 2009 human pandemic H1N1 (pH1N1) strain from that of other H1N1 strains. As expected, positions discriminating the pH1N1 from seasonal human strains were located in or near known H1N1 antigenic sites, thus camouflaging the pH1N1 strain from immune recognition. For example, the alteration S145K (an antigenic position) was found as a characteristic of the pH1N1 strain. We also detected positions in the hemagglutinin protein differentiating classical swine viruses from pH1N1. These positions were mostly located in and around the receptor-binding pocket, possibly influencing binding affinity to the human cell. Such alterations may be liable in part for the virus's efficient infection and adaptation to humans. For instance, 133 A and 149 were identified as discriminative positions. Significantly, we showed that the substitutions R133 A K and R149K, predicted to be pH1N1 characteristics, each altered virus binding to erythrocytes and conferred virulence to A/swine/NC/18161/02 in mice, reinforcing the computational findings. Our findings provide a structural explanation for the deficient immunity of humans to the pH1N1 strain. Moreover, our analysis points to unique molecular factors that may have facilitated the emergence of this swine variant in humans, in contrast to other swine variants that failed.A pandemic H1N1 (pH1N1) human influenza virus was identified in April 2009 (1) and has since spread to over 200 countries and caused over 18,000 deaths (2). Evolutionary analysis of the pH1N1 strain indicates that its HA belongs to the classical swine lineage. HAs in this lineage are more similar to those of historical human strains such as the 1918 H1N1 strain than to those of circulating H1N1 strains from recent years (3). Prior to the emergence of the pH1N1 strain, only sporadic cases of human infection by swine influenza viruses had been reported (4-8). The molecular basis enabling this recent strain to efficiently infect and be transmitted between humans remains obscure (9-12).Herein, we used a computational approach to uncover signature residues in the receptor-binding domain (RBD) of the pH1N1 HA protein. Using a machine-learning algorithm of alternating decision trees (ADTs) (13), we predicted positions that differentiated between HA protein sequences of the pH1N1 strain and HA sequences of other H1N1 strains. The algorithm combines moderately successful rules to produce highly accurate predictions (13). Here the rules represent correlations between the presence of specific amino acid type(s) in selected positions and the sequence annotation, e.g., pandemic versus seasonal strain. This is done by iteratively reweighting training examples (i.e., HA sequences), thus, concentratin...