Method may help reduce drug attrition rates at clinical trial by accurately predicting drug toxicity in the early drug development stages
Researchers have developed an algorithm that can identify novel drug combinations to tackle drug resistant fungal infections.
A team led by Stony Brook University (NY, USA) researchers has developed a new method to model protein–protein interactions, research that may help to accelerate future drug discovery.
Computational tools, antibiotics and drug discovery: interview with Dr Sriram Chandrasekaran
News, Computational chemistry and informatics, Drug discovery approaches, Technologies and methodologies
Researchers from the Institute of Cancer Research (London, UK) have found that testing for metabolic changes in blood could indicate the efficacy of cancer therapy.
Researchers from the University of California, Los Angeles (CA, USA) and Shanghai Jiao Tong University (Shanghai, China) have utilized a novel technique to study the potential of different drug combinations as faster and more effective treatment options for tuberculosis.
Spotlight on computer-aided drug design, News, Computational chemistry and informatics, Technologies and methodologies
Researchers at Lawrence Livermore National Laboratory (CA, USA) are using supercomputers to form simulations potentially able to significantly speed up the process of candidate drug testing.
Jack Scannell from Oxford University's Centre for the Advancement of Sustainable Medical Innovation (UK) and consultant Jim Bosley have used mathematical tools to address the hypothesis that poor choices of study method are the root of unsustainably expensive drug discovery.