QSAR models for a series of o-phenylphenol LTB4 receptor antagonist ha
ve been developed with regression analysis. These models related speci
fic features, electronic, size and shape, of the substituent with biol
ogical activity. The models have predictive value and may be useful in
assisting future synthetic direction within this series of compounds.