Computational chemistry reveals unexpected relationships between unrelated pharmaceutical target proteins
In silico functional elucidation of uncharacterized proteins of Chlamydia abortus strain LLG
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