Reply to "Coadaptive Stability of Interfering Particles with HIV-1 When There Is an Evolutionary Conflict"
نویسندگان
چکیده
منابع مشابه
Reply to "Coadaptive stability of interfering particles with HIV-1 when there is an evolutionary conflict".
HIV-1 evolution is a fundamental challenge for any therapeutic intervention. Rouzine and Weinberger (1) presented a mathematical analysis of the evolutionary stability of proposed therapies that would use engineered defective interfering particles (DIPs) to treat HIV-1 patients. Their analyses are illuminating, particularly in highlighting the importance of multiple DIP infections of a cell and...
متن کاملCoadaptive Stability of Interfering Particles with HIV-1 When There Is an Evolutionary Conflict
HIV-1 evolution is a fundamental challenge for any therapeutic intervention. Rouzine and Weinberger (1) presented a mathematical analysis of the evolutionary stability of proposed therapies that would use engineered defective interfering particles (DIPs) to treat HIV-1 patients. Their analyses are illuminating, particularly in highlighting the importance of multiple DIP infections of a cell and...
متن کاملDesign requirements for interfering particles to maintain coadaptive stability with HIV-1.
Defective interfering particles (DIPs) are viral deletion mutants lacking essential transacting or packaging elements and must be complemented by wild-type virus to propagate. DIPs transmit through human populations, replicating at the expense of the wild-type virus and acting as molecular parasites of viruses. Consequently, engineered DIPs have been proposed as therapies for a number of diseas...
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Background: The publication of articles in peer-reviewed scientific journals is a fairly complex and stepwise process that involves responding to referees’ comments. Little guidance is available in the biomedical literature on how to deal with such comments. Objective: The objective of this article is to provide guidance to notice writers on dealing with peer review comments in a way that maxim...
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Fuzzy clustering methods are conveniently employed in constructing a fuzzy model of a system, but they need to tune some parameters. In this research, FCM is chosen for fuzzy clustering. Parameters such as the number of clusters and the value of fuzzifier significantly influence the extent of generalization of the fuzzy model. These two parameters require tuning to reduce the overfitting in the...
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ژورنال
عنوان ژورنال: Journal of Virology
سال: 2013
ISSN: 0022-538X
DOI: 10.1128/jvi.00932-13