Experimental and pKa prediction aspects of tautomerism of drug-like molecules.

Molecules that can tautomerize are a challenge to scientists because one must consider the possible tautomers in most tasks involving chemical structures: for example, searching databases, interpreting experimental property measurements, calculating properties, virtual screening, and analyzing structure-bioactivity relationships. The challenge in interpreting property measurements such as pKa values feeds into the general lack of extensive information not only of the relative tautomer stability in water but also the properties of the individual tautomers. This lack of information results in the lack of reliability of computational predictions of tautomer stability or properties. In spite of these problems, pKa calculations are reliable enough that they can be used to filter out high-energy tautomers from databases used for virtual screening. Continuous improvements in both pKa prediction software and theoretical calculations promise further improvements in solving the challenges of tautomers. The expected availability of high-resolution structures of many more tautomer-protein complexes will help guide the selection of the bioactive tautomer when the structure of the complex is not known.

How medicinal chemists learned about log P.

Although log P is now recognized to be a key factor that determines the bioactivity of a molecule, the focus of medicinal chemists on hydrophobicity and log P started with the quantitative structure-activity relationships (QSAR) publications of Hansch and Fujita. Their original publication represents a dramatic change of focus to incorporate consideration of log P after a decade of work unsuccessfully attempting to use the Hammett equation to explain the structure-activity relationships of plant growth regulators. QSAR allows one to explore the quantitative relationship between log P and biological activity even when other factors also influence potency. In particular, Hansch's publications of thousands of QSAR equations demonstrate that a relationship of biological activity with log P is indeed a general phenomenon. Hansch's group also provided data and tools that enable others to explore the relationship between log P and the biological activity of compounds of interest.

The Discovery of Novel Selective D1 Dopaminergic Agonists: A-68930, A-77636, A-86929, and ABT-413.

The novel selective D1 dopaminergic full agonists A-68930, A-77636 were discovered by the synthesis of molecules to probe the bioactive conformation of the partial agonist SKF-38393, by the use of this information to add D1 affinity and selectivity to a screening hit, and by traditional medicinal chemistry exploration of structure-activity relationships. The subsequent design of A-86929 and ABT-413 capitalized on these results, recently disclosed agonists, and traditional medicinal chemistry.

Overview of the perspectives devoted to tautomerism in molecular design.

This communication summarizes the important points made in each contribution. They show that there remain issues in the cheminformatic handling of tautomers and predicting the relative energies of various tautomers.

Tautomerism, Hammett sigma, and QSAR.

A consideration of equilibrium model-based equations suggests that tautomeric equilibria do not markedly affect observed potency if the tautomer bound represents at least 50% of the compound in solution. Tautomeric equilibria can enhance or attenuate the correlation of potency with Hammett sigma. Additionally, tautomeric equilibria can lead to a correlation of potency with sigma even in the absence of a correlation of binding with sigma.

Let's not forget tautomers.

A compound exhibits tautomerism if it can be represented by two structures that are related by an intramolecular movement of hydrogen from one atom to another. The different tautomers of a molecule usually have different molecular fingerprints, hydrophobicities and pKa's as well as different 3D shape and electrostatic properties; additionally, proteins frequently preferentially bind a tautomer that is present in low abundance in water. As a result, the proper treatment of molecules that can tautomerize, approximately 25% of a database, is a challenge for every aspect of computer-aided molecular design. Library design that focuses on molecular similarity or diversity might inadvertently include similar molecules that happen to be encoded as different tautomers. Physical property measurements might not establish the properties of individual tautomers with the result that algorithms based on these measurements may be less accurate for molecules that can tautomerize-this problem influences the accuracy of filtering for library design and also traditional QSAR. Any 2D or 3D QSAR analysis must involve the decision of if or how to adjust the observed Ki or IC50 for the tautomerization equilibria. QSARs and recursive partitioning methods also involve the decision as to which tautomer(s) to use to calculate the molecular descriptors. Docking virtual screening must involve the decision as to which tautomers to include in the docking and how to account for tautomerization in the scoring. All of these decisions are more difficult because there is no extensive database of measured tautomeric ratios in both water and non-aqueous solvents and there is no consensus as to the best computational method to calculate tautomeric ratios in different environments.