Articles tagged with Drug Candidates
The Infectious Diseases Society of America states that endocarditis and meningitis are better treated with bactericidal drugs, while urinary tract infections can be effectively managed with bacteriostatic drugs. Corticosteroids are recommended for bacterial meningitis to prevent inflammation.
Ganguly's work involves designing drugs from natural molecules, targeting disease-causing compounds, and exploring new mechanisms of treatment. His notable achievements include developing Ziracin, a natural antibiotic, and Zetia, a cholesterol-lowering drug with a synergistic effect with statins.
Scientists at Max-Planck-Institute for Molecular Physiology develop a new concept for more efficient search of drug candidates. By employing biologically relevant natural products as starting point, the 'domain concept' aims to increase hit rate in compound libraries.
Researchers developed a superoxide dismutase (SOD) enzyme mimetic that significantly reduced inflammation and tissue damage in an animal model of colitis. The SOD mimetic M40403 also reduced elevated cytokine levels and diarrhea, marking promising results for potential clinical candidates.
Researchers found that DiaPep277 modulates the immune system to prevent autoimmune diabetes progression. The study showed significant increases in C-peptide levels and reductions in insulin requirements among patients receiving DiaPep277.
MetaPhore will develop and test a highly active SOD mimetic to protect heart tissues from damage. The research aims to provide additional mechanistic information on the role of superoxide in reperfusion injury, which may also apply to other ischemic events.
Researchers have found that an enzyme mimetic compound significantly improves the functioning of blood vessels and nerves in diabetic animal studies, reducing vascular abnormalities and nerve damage. The study suggests a potentially significant new approach for treating and preventing complications associated with diabetes.
A new bar coding system developed by Purdue University chemists can quickly identify the most biologically active compounds among thousands of candidates. The method uses standard spectrometers and reduces the laborious process to a few hours, cutting down time needed to identify active compounds to zero.
Purdue University researchers have developed a method to sort and isolate chemical compounds as they are made, identifying the most biologically active compounds among millions of candidates. The new method combines state-of-the-art imaging technology and combinatorial chemistry, reducing screening times by four to 12 times.