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This study employed multiple linear regressions to analyze hydantoin analogues and produced a model with strong predictive abilities for designing new androgen receptor modulators.

This study used Density Functional Theory-based computational methods to analyze finasteride's molecular properties, finding that the GGA/PW91 method closely matches experimental data for vibrational frequencies and geometric parameters.

This study reported that the calculated and experimental electronic and vibrational properties of minoxidil were in good agreement, providing detailed insights into its molecular structure and thermal behaviors.

This review examines glycopeptide hydrogels as biomimetic materials for tissue regeneration and other biomedical applications, describing their design, properties, and potential uses, and highlighting future advancements in replicating natural tissue environments for precision medicine.

In this study, researchers introduced a machine learning approach to discover new nanozymes through the DiZyme platform, enabling the accurate prediction of multiple catalytic activities, and providing a comprehensive database and assistant resources for users.