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These methods help understand cell structures and reactions.

The research found a link between certain molecular features and the biological activity of BC3, which can help identify or create new active compounds.

Methods for creating diverse ring-shaped molecules and their uses.

Two peptides, RMYYY and VMYMI, may be effective anti-inflammatory drugs.

Rational design strategies are crucial for developing effective nanozymes for anti-inflammatory uses.

Nanozymes show promise for effective and safe cancer treatment.

A new method was developed to create complex molecular knots using iron ions.

Machine learning is effective in predicting gene functions and their relationships with diseases.

Accurate quantitative bioanalysis using LC-MS/MS is challenging due to matrix effects, but using internal standards and new methods like in-sample calibration could improve results.

Peptide drugs now target hard-to-reach proteins more effectively and specifically.

Integrating medical biochemistry with other subjects improves clinical problem-solving skills.

2,5-DBH shows promise for improving drugs in cancer, brain disorders, and infections.

High-content screening is useful for finding new treatments for rare diseases and has led to FDA-approved drugs.

Accurate protein modeling can help develop new treatments for prostate cancer and other diseases.

AI improves biomaterial design by making it faster, cheaper, and more effective for personalized medicine.

New cancer treatments aim to reduce side effects and improve effectiveness.

A new method organizes drug information to improve data use and create a comprehensive drug database.

A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.

Carbon Quantum Dots can effectively detect cobalt ions and methylcobalamin in water.

Droplet microfluidics improves efficiency and control in chemistry, biology, and nanotechnology.

Adding a second method to PROTACs could improve cancer treatment.

scMC effectively separates biological signals from technical noise in single-cell genomics data.

Computational techniques can improve drug development for treating certain conditions.

Traditional Chinese medicine may help treat ischemic stroke by targeting specific genes and pathways.

Newly designed proteins can effectively degrade specific proteins in cells, offering a promising alternative for targeted protein degradation.

scINSIGHT accurately identifies cell clusters and gene patterns in complex data.