Allergic contact dermatitis (ACD) is a widespread concern in which sensitization occurs to low molecular weight chemicals. Currently, animal and human assays are used to identify chemicals with potential to cause ACD. MultiCASE, a computer based structure-activity relational system was employed to evaluate a data base of contact sensitizers and identify structural determinants (biophores) associated with sensitization. The data base was derived from reports of animal and human studies and consisted of 1034 chemicals of which 317 were classified as sensitizers (extreme, strong, moderate, or weak), 22 chemicals had marginal (questionable) activity, and 695 were inactive. MultiCASE identified 49 biophores with related expanded fragments which accounted for the activity of all active chemicals. The major biophores consisted of: 1) a nitrogen double-bonded to a carbon or a nitrogen; 2) substituted aromatic structures; 3) thiol and disulfide containing fragments; and 4) electrophilic moieties. Modulators of each biophore, which either augmented or decreased potency, included additional structural fragments, two dimensional distance descriptors, as well as physico-chemical characteristics. Internal evaluation of the data base indicated the sensitivity was 99.6%, and the specificity of the data set was 99.4%. Prediction of the activity of chemicals not in the learning set gave a concordance of 90.2% with experimental results. These findings demonstrate the ability of MultiCASE to identify contact sensitizers and sus est its ability to screen chemicals for their potential to produce ACD.