Pharma/Biopharma

There’s an urgent demand for new antimicrobial compounds that are effective against constantly emerging drug-resistant bacteria. Two robotic chemical-synthesizing machines, named Symphony X and Overture, have joined the search. Their specialty is creating custom nanoscale structures that mimic nature’s proven designs. They’re also fast, able to assemble dozens of compounds at a time.

University of Adelaide researchers have discovered a target for the development of completely new antibiotics against disease-causing bacteria.

Doping is damaging the image of sport without benefitting athletes’ results, according to University of Adelaide research.

Antibodies are specific molecules that can lock onto a particular cellular structure to start, stop or otherwise temper a biological process. Because they are so specific, antibodies are at the forefront of drug discovery. So drug companies want a faster route to step one: identifying which of the millions of possible antibodies will work against molecules that cause disease.

Big data might bring more benefits to drug discovery than to any other field. For one thing, discovering a new drug turns out to be incredibly difficult. On average, a pharmaceutical company tries about 10,000 drug candidates for every one that ends up on the market. Plus, the process of discovering and developing a new drug costs hundreds of millions of dollars and takes more than a decade—some say more for both measurements.














