Recent studies of tension-induced membrane fusion using dissipative particle dynamics (DPD) simulations are briefly reviewed. The stochastic nature of the fusion process makes it necessary to simulate a large number of fusion attempts in order to obtain reliable fusion statistics and to extract meaningful values for the fusion probability and the average fusion times. All successful fusion events follow the same pathway. In this fusion pathway, configurations of individual lipids play an important role. Fusion starts with individual lipids assuming a splayed tail configuration with one tail inserted into each membrane. In order to determine the corresponding energy barrier, we measure the average work to displace one lipid molecule from one bilayer to the other. This energy barrier is found to depend strongly on a certain DPD parameter, and, thus, can be adjusted in the simulations. Overall, three sub-processes have been identified in the fusion pathway. Their energy barriers are estimated to lie in the range 8-15kBT. The fusion probability is found to possess a maximum at intermediate tension values. As one decreases the tension, the fusion probability seems to vanish before the tensionless membrane state is attained. This would imply that the tension has to exceed a certain threshold value in order to induce fusion.
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US Army Combat Capabil Dev Command Army Res Lab, Weap & Mat Res Directorate, Aberdeen Proving Ground, MD 21005 USACAS, Dept Mol & Mesoscop Modelling, Inst Chem Proc Fundamentals, Prague, Czech Republic
Larentzos, James P.
Sellers, Michael S.
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US Army Combat Capabil Dev Command Army Res Lab, Weap & Mat Res Directorate, Aberdeen Proving Ground, MD 21005 USACAS, Dept Mol & Mesoscop Modelling, Inst Chem Proc Fundamentals, Prague, Czech Republic
Sellers, Michael S.
Schweigert, Igor, V
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US Naval Res Lab, Theoret Chem Sect, Code 6189, Washington, DC 20375 USACAS, Dept Mol & Mesoscop Modelling, Inst Chem Proc Fundamentals, Prague, Czech Republic
Schweigert, Igor, V
Brennan, John K.
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US Army Combat Capabil Dev Command Army Res Lab, Weap & Mat Res Directorate, Aberdeen Proving Ground, MD 21005 USACAS, Dept Mol & Mesoscop Modelling, Inst Chem Proc Fundamentals, Prague, Czech Republic
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Soochow Univ, Ctr Soft Condensed Matter Phys & Interdisciplinary, Suzhou 215006, Peoples R China
Soochow Univ, Sch Phys Sci & Technol, Suzhou 215006, Peoples R China
Songshan Lake Mat Lab, Dongguan 523808, Peoples R ChinaSoochow Univ, Ctr Soft Condensed Matter Phys & Interdisciplinary, Suzhou 215006, Peoples R China
Zhang, Wanting
Xu, Rong
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Soochow Univ, Ctr Soft Condensed Matter Phys & Interdisciplinary, Suzhou 215006, Peoples R China
Soochow Univ, Sch Phys Sci & Technol, Suzhou 215006, Peoples R China
Songshan Lake Mat Lab, Dongguan 523808, Peoples R ChinaSoochow Univ, Ctr Soft Condensed Matter Phys & Interdisciplinary, Suzhou 215006, Peoples R China
Xu, Rong
Ma, Wendong
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Soochow Univ, Ctr Soft Condensed Matter Phys & Interdisciplinary, Suzhou 215006, Peoples R China
Soochow Univ, Sch Phys Sci & Technol, Suzhou 215006, Peoples R China
Monash Univ, Biomed Discovery Inst, Infect & Immun Program, Melbourne, AustraliaSoochow Univ, Ctr Soft Condensed Matter Phys & Interdisciplinary, Suzhou 215006, Peoples R China
Ma, Wendong
Lin, Zhao
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Soochow Univ, Ctr Soft Condensed Matter Phys & Interdisciplinary, Suzhou 215006, Peoples R China
Soochow Univ, Sch Phys Sci & Technol, Suzhou 215006, Peoples R China
Chinese Acad Sci, Inst Phys, Beijing Natl Lab Condensed Matter Phys, Beijing 100190, Peoples R ChinaSoochow Univ, Ctr Soft Condensed Matter Phys & Interdisciplinary, Suzhou 215006, Peoples R China
Lin, Zhao
Yang, Kai
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Soochow Univ, Ctr Soft Condensed Matter Phys & Interdisciplinary, Suzhou 215006, Peoples R China
Soochow Univ, Sch Phys Sci & Technol, Suzhou 215006, Peoples R ChinaSoochow Univ, Ctr Soft Condensed Matter Phys & Interdisciplinary, Suzhou 215006, Peoples R China
Yang, Kai
Yuan, Bing
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Songshan Lake Mat Lab, Dongguan 523808, Peoples R ChinaSoochow Univ, Ctr Soft Condensed Matter Phys & Interdisciplinary, Suzhou 215006, Peoples R China