{'fraction_non_alphanumeric': 0.013333333333333334, 'fraction_numerical': 0.0, 'mean_word_length': 5.982558139534884, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
In this issue

The Idiosyncracies of MoleculeCell Interactions When developing organelle-targeted bioimaging probes, one can expect that similar pairs of probes will yield highly similar visual and spectral features in labeled cell populations. In this study, cheminformatic analysis of the chemical structure of a combinatorial library of fluorescent styryl molecules has been combined with quantitative analysis of the probes’ visual signals in microscopic images acquired with an automated high content screening system. Analysis of the relationship between the probes’ structure and visual features revealed that this expectation is only true for the molecules spectral features, but not for the cell associated visual features. This result argues that highly specific, idiosyncratic interactions between molecules and cells are more important than non-specific mechanisms in determining the patterns of cell-associated probe fluorescence. Methodologically, the ability to automate probe screens and perform structure-localization relationship studies in an objective and quantitative manner can enable searching for new kinds of bioimaging probes in increasingly larger collections of molecules.