際際滷shows by User: somdebghose / http://www.slideshare.net/images/logo.gif 際際滷shows by User: somdebghose / Tue, 11 Jun 2013 16:40:21 GMT 際際滷Share feed for 際際滷shows by User: somdebghose Not All Quiet On The Biology Front /slideshow/somdeb-isw2012/22826571 somdebisw2012-130611164021-phpapp02
Biological systems operate in noisy conditions. This noise can arise due to fluctuations in external parameters like temperature or pH, or it can come about from stochasticity due to a small number of interacting elements. The latter, called intrinsic noise, cannot be tuned or removed, and thus must either be regulated or be harnessed for proper functioning of biological processes crucial to life. Examples include gene expression and metabolism, which are enzyme-catalyzed intracellular biochemical reactions involving a small number of reacting molecules, and are thus susceptible to intrinsic noise. Our analytical and numerical study of stochastic enzyme kinetics in the mesoscopic regime showed that, unlike in the deterministic or the single-molecule regimes, the rate of product formation does not follow the classical Michaelis-Menten rate equation, and the turnover process is not of the renewal type. Successive intervals between turnovers are anticorrelated, thus providing a possible mechanism of noise regulation. Intrinsic noise can also give rise to ordered phenomena at macroscopic scales. We showed, using a simple model of epidemic spreading, that intrinsic noise can indeed give rise to sustained oscillations in the absence of any external periodic forcing, and that, counterintuitively, the regularity of these oscillations peak at an intermediate noise strength.]]>
Biological systems operate in noisy conditions. This noise can arise due to fluctuations in external parameters like temperature or pH, or it can come about from stochasticity due to a small number of interacting elements. The latter, called intrinsic noise, cannot be tuned or removed, and thus must either be regulated or be harnessed for proper functioning of biological processes crucial to life. Examples include gene expression and metabolism, which are enzyme-catalyzed intracellular biochemical reactions involving a small number of reacting molecules, and are thus susceptible to intrinsic noise. Our analytical and numerical study of stochastic enzyme kinetics in the mesoscopic regime showed that, unlike in the deterministic or the single-molecule regimes, the rate of product formation does not follow the classical Michaelis-Menten rate equation, and the turnover process is not of the renewal type. Successive intervals between turnovers are anticorrelated, thus providing a possible mechanism of noise regulation. Intrinsic noise can also give rise to ordered phenomena at macroscopic scales. We showed, using a simple model of epidemic spreading, that intrinsic noise can indeed give rise to sustained oscillations in the absence of any external periodic forcing, and that, counterintuitively, the regularity of these oscillations peak at an intermediate noise strength.]]> Tue, 11 Jun 2013 16:40:21 GMT /slideshow/somdeb-isw2012/22826571 somdebghose@slideshare.net(somdebghose) Not All Quiet On The Biology Front somdebghose Biological systems operate in noisy conditions. This noise can arise due to fluctuations in external parameters like temperature or pH, or it can come about from stochasticity due to a small number of interacting elements. The latter, called intrinsic noise, cannot be tuned or removed, and thus must either be regulated or be harnessed for proper functioning of biological processes crucial to life. Examples include gene expression and metabolism, which are enzyme-catalyzed intracellular biochemical reactions involving a small number of reacting molecules, and are thus susceptible to intrinsic noise. Our analytical and numerical study of stochastic enzyme kinetics in the mesoscopic regime showed that, unlike in the deterministic or the single-molecule regimes, the rate of product formation does not follow the classical Michaelis-Menten rate equation, and the turnover process is not of the renewal type. Successive intervals between turnovers are anticorrelated, thus providing a possible mechanism of noise regulation. Intrinsic noise can also give rise to ordered phenomena at macroscopic scales. We showed, using a simple model of epidemic spreading, that intrinsic noise can indeed give rise to sustained oscillations in the absence of any external periodic forcing, and that, counterintuitively, the regularity of these oscillations peak at an intermediate noise strength. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/somdebisw2012-130611164021-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Biological systems operate in noisy conditions. This noise can arise due to fluctuations in external parameters like temperature or pH, or it can come about from stochasticity due to a small number of interacting elements. The latter, called intrinsic noise, cannot be tuned or removed, and thus must either be regulated or be harnessed for proper functioning of biological processes crucial to life. Examples include gene expression and metabolism, which are enzyme-catalyzed intracellular biochemical reactions involving a small number of reacting molecules, and are thus susceptible to intrinsic noise. Our analytical and numerical study of stochastic enzyme kinetics in the mesoscopic regime showed that, unlike in the deterministic or the single-molecule regimes, the rate of product formation does not follow the classical Michaelis-Menten rate equation, and the turnover process is not of the renewal type. Successive intervals between turnovers are anticorrelated, thus providing a possible mechanism of noise regulation. Intrinsic noise can also give rise to ordered phenomena at macroscopic scales. We showed, using a simple model of epidemic spreading, that intrinsic noise can indeed give rise to sustained oscillations in the absence of any external periodic forcing, and that, counterintuitively, the regularity of these oscillations peak at an intermediate noise strength.
Not All Quiet On The Biology Front from Somdeb Ghose
]]> 303 2 https://cdn.slidesharecdn.com/ss_thumbnails/somdebisw2012-130611164021-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-somdebghose-48x48.jpg?cb=1523653517 I am a PhD student in Physics, currently part of the Theory of Soft Condensed Matter research group at IMSc, Chennai, India. My primary research interest is the study of the nature and dynamics of active chemomechanical matter; be it a single swimming microorganism, a suspension of such elements interacting hydrodynamically, or a filament constructed out of active elements. My current goal is to provide a mathematically rigorous framework to describe the physics of active motility. For further info, please visit https://sites.google.com/site/somdebghose/. https://sites.google.com/site/somdebghose/