drug discovery
4 articles tagged with ‘drug discovery’
Advanced Cyclic Peptide Synthesis in Drug Discovery
Natural cyclic peptides offer unique structures and potent biological effects, with over forty approved for clinical use in antibiotics, anticancer agents, immunomodulators, and anti-inflammatory drugs. Synthesis faces challenges from structural complexity and scalability needs. Recent studies since 2017 highlight evolving strategies like head-to-tail and side-chain linkages to improve efficiency.
AI Revolutionizes Peptide Drug Discovery and Analysis
Artificial intelligence accelerates peptide drug discovery by analyzing complex structures and predicting interactions with high accuracy. This technology supports applications in cancer, diabetes, autoimmune diseases, vaccines, and precision medicine. Platforms integrate AI algorithms, big data, and structural biology to shorten development cycles and improve outcomes.
Combinatorial Peptide Synthesis: Methods and Techniques
Combinatorial peptide synthesis combines amino acid sequences to produce large libraries of peptides for drug discovery. It relies on solid-phase peptide synthesis to enable quick creation of bioactive compounds. Techniques such as multipin synthesis, tea-bag method, and light blotting support high-throughput screening of peptide activity.
Cyclic Peptides from Pseudostellaria heterophylla: Design to Scale-Up
Cyclic peptides from the traditional Chinese herb Pseudostellaria heterophylla, or Tai-Zi-Shen, show promise in drug discovery due to their stability and activities like anti-cancer and anti-inflammatory effects. Researchers have isolated 19 such peptides, with heterophyllin A and B standing out for metabolic stability and selectivity. Advances in chemical synthesis and biotechnology aim to move these compounds from lab to industrial production.