Exploring a new paradigm for serum-accessible component rules of natural medicines using machine learning and development and validation of a direct predictive model.

In the field of pharmaceutical research, Lipinski's Rule of Five (RO5) was once widely regarded as the prevailing standard for the development of novel drugs. Despite the fact that an increasing number of recently approved drugs no longer adhere to this rule, it continues to serve as a valuable guiding principle in the field of drug discovery. The present study aims to establish a set of rules specifically for the serum-accessible components of natural medicines.

The Application of Traditional Chinese Medicine-Derived Formulations in Cancer Immunotherapy: A Review.

Background: Cancer immunotherapy is an advanced therapeutic approach that harnesses the body's immune system to target and eliminate tumor cells. Traditional Chinese medicine (TCM), with a history rooted in centuries of clinical practice, plays a crucial role in enhancing immune responses, alleviating cancer-related symptoms, and reducing the risks of infections and complications in cancer patients.

Methodology: This review systematically examines the current literature on TCM-based formulations in cancer immunotherapy.

Gradient experiment reveals physiological stress from heavy metal zinc on the economically valuable seaweed Sargassum fusiforme.

Zn is a common heavy metal pollutant in water bodies and accounts for the largest proportion of heavy metal pollutants in many rivers entering the sea. This study investigated the growth and physiological response characteristics of Sargassum fusiforme under different divalent Zn ion concentration gradients. We observed that low concentration Zn treatment (<2 mg L) exerted no significant effect on the growth rate, photosynthesis, and nitrogen metabolism-related indicators of S.

Automatic Optical Path Alignment Method for Optical Biological Microscope.

A high-quality optical path alignment is essential for achieving superior image quality in optical biological microscope (OBM) systems. The traditional automatic alignment methods for OBMs rely heavily on complex masker-detection techniques. This paper introduces an innovative, image-sensor-based optical path alignment approach designed for low-power objective (specifically 4×) automatic OBMs.