We show that theoretical microscopic titration curves (THEMATICS) can be used to identify active-site residues in proteins of known structure. Results are featured for three enzymes: triosephosphate isomerase (TIM), aldose reductase (AR), and phosphomannose isomerase (PMI). We note that TIM and AR have similar structures but catalyze different kinds of reactions, whereas TIM and PMI have different structures but catalyze similar reactions. Analysis of the theoretical microscopic titration curves for all of the ionizable residues of these proteins shows that a small fraction (3-7%) of the curves possess a flat region where the residue is partially protonated over a wide pH range. The preponderance of residues with such perturbed curves occur in the active site. Additional results are given in summary form to show the success of the method for proteins with a variety of different chemistries and structures.T here is a need to develop methods to predict protein function from structure; this need becomes particularly acute as novel protein folds are discovered for which there are no proteins of similar structure with known function. We show that theoretical microscopic titration curves (THEMATICS) can be used to identify active-site residues in enzymes of known structure. This information will prove to be important in the current challenging quest to predict protein function from sequence and structure.Knowledge of protein sequences and structures has burgeoned very recently as a result of genome sequencing (1) and structural genomics efforts. To translate such information into tangible benefits to humankind, the next step is to develop methods that enable one to predict and to establish function from structure. Techniques used to predict function from sequence or function from structure are in their infancy and rely either on analogies to related proteins of known function (2-8) or on computational searches for binding sites by docking (9) of selected sets of small molecules onto the structure. For instance, recent work has searched the Protein Data Bank (PDB; ref. 10; http:͞͞ www.rcsb.org͞pdb͞) for previously unrecognized cation-binding sites (11).However, there is as yet no reliable method to identify active sites of enzymes or other interaction sites of proteins in the absence of biochemical data, even when the structure is known. There is a wealth of biochemical data that demonstrates that active-site residues involved in specific kinds of chemistry possess predictable chemical properties that enable one to identify them as active-site residues. The most important of these properties is a perturbed pK a that can be determined experimentally by pH titrations of the activity of the enzyme. Herein we demonstrate that theoretical titration functions can identify active-site residues that are involved in Brønsted acid-base chemistry for a variety of proteins, thereby identifying the active site from the location of the residues.In an experimental titration curve, one typically plots pH as a function of the volume of...