Predicting Adverse Drug Effects from Literature- and Database-Mined Assertions

Discovering description logic assertions from database schemes

Adverse Drug Effects

Differentiating between complicating consequences of HIV infection and toxicities of drugs used in the management of HIV infection is challenging. However, the experience gained with combination antiretroviral (ARV) drugs has led to the recognition of several distinct adverse drug events. These include: • mitochondrial dysfunction (including lactic acidosis, hepatic toxicity, pancreatitis, and ...

Adverse health effects associated with Islamic fasting -A literature review

Introduction: Millions of Muslims across the world observe Islamic fasting during the holy month of Ramadan, as well as the other specific dates in the lunar calendar year. While fasting during this month, Muslims refrain from eating or drinking from dawn to dusk. Islamic fasting is similar to alternate day fasting (ADF) since it incorporates an average of 12 hours of fasting and 12 hours of fe...

GESSE: Predicting Drug Side Effects from Drug-Target Relationships

The in silico prediction of unwanted side effects (SEs) caused by the promiscuous behavior of drugs and their targets is highly relevant to the pharmaceutical industry. Considerable effort is now being put into computational and experimental screening of several suspected off-target proteins in the hope that SEs might be identified early, before the cost associated with developing a drug candid...

Database Views with Dynamic Assertions

This paper extends an object oriented database centred on the notion of view by allowing views to be specified by temporal logic formulas. For Past&Forget assertions a particular kind of temporal logic formula -, we show that it is possible to determine efficiently to which view(s) an object belongs by computing, at schema definition, a classification space similar to the one used when only non...