Tweet
"Adverse drug effects are the second most common reason, behind effectiveness, that potential drugs fail in clinical trials, according to the paper."
"A new set of computer models has successfully predicted negative side effects in hundreds of current drugs, based on the similarity between their chemical structures and those molecules known to cause side effects."
"As a result, it offers a possible new way for researchers to focus their efforts on developing the compounds that will be safest for patients, while potentially saving billions of dollars each year that goes into studying and developing drugs that fail."
Interesting to note. Perhaps the incidence of adverse side effects in future drugs and medications may be significantly lessened.
"A new set of computer models has successfully predicted negative side effects in hundreds of current drugs, based on the similarity between their chemical structures and those molecules known to cause side effects."
"As a result, it offers a possible new way for researchers to focus their efforts on developing the compounds that will be safest for patients, while potentially saving billions of dollars each year that goes into studying and developing drugs that fail."
Interesting to note. Perhaps the incidence of adverse side effects in future drugs and medications may be significantly lessened.