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 <title>iMechanica - cellular mechanics - Comments</title>
 <link>http://imechanica.org/taxonomy/term/183</link>
 <description>Comments for &quot;cellular mechanics&quot;</description>
 <language>en</language>
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 <title>Q: &quot;How do G&#039; and G&#039;&#039; look</title>
 <link>http://imechanica.org/node/1842#comment-4751</link>
 <description>&lt;p&gt;
Q: &amp;quot;How do G&amp;#39; and G&amp;#39;&amp;#39; look like individually?&amp;quot;
&lt;/p&gt;
&lt;p&gt;
&amp;nbsp;A: Data for G&amp;#39; look very similar to those for |G*|, whereas data for G&amp;quot; are too noisy.
&lt;/p&gt;
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 <pubDate>Mon, 27 Aug 2007 04:37:05 -0400</pubDate>
 <dc:creator>Dimitrije Stamenovic</dc:creator>
 <guid isPermaLink="false">comment 4751 at http://imechanica.org</guid>
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 <title>G&#039; and G&#039;&#039;</title>
 <link>http://imechanica.org/node/1842#comment-4749</link>
 <description>&lt;p&gt;How do G&amp;#39; and G&amp;#39;&amp;#39; look like individually?&lt;/p&gt;
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 <pubDate>Sun, 26 Aug 2007 16:30:18 -0400</pubDate>
 <dc:creator>Aaron Goh</dc:creator>
 <guid isPermaLink="false">comment 4749 at http://imechanica.org</guid>
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 <title>biomechanics is one of our research areas</title>
 <link>http://imechanica.org/node/1171#comment-2586</link>
 <description>&lt;p&gt;Honglai,&lt;/p&gt;
&lt;p&gt;We are interested in mechanics of biomolecules in general but more focused on simulations (instead of modeling in this jClub article). Specifically, we are looking at &lt;a href=&quot;/node/92&quot;&gt;mechanosensitive channels&lt;/a&gt; at this moment and developing multiscale simulation protocols. This will be one of our main directions in the coming years. Of course, just like you, we are also and equally interested in materials for energy, nanomechanics, thin films, nanoindentation, and solid-fluid interactions. I am updating my department webpage and should post some new information soon. &lt;/p&gt;
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 <pubDate>Sun, 29 Apr 2007 21:27:17 -0400</pubDate>
 <dc:creator>Xi Chen</dc:creator>
 <guid isPermaLink="false">comment 2586 at http://imechanica.org</guid>
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 <title>how far do you plan to go in biomechanics?</title>
 <link>http://imechanica.org/node/1171#comment-2585</link>
 <description>&lt;p&gt;Xi,&lt;br /&gt;So, how far do you plan to go in biomechanics? Any particular research directions?&lt;/p&gt;
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 <pubDate>Sun, 29 Apr 2007 21:05:46 -0400</pubDate>
 <dc:creator>Henry Tan</dc:creator>
 <guid isPermaLink="false">comment 2585 at http://imechanica.org</guid>
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 <title>time scales in life</title>
 <link>http://imechanica.org/node/1171#comment-2346</link>
 <description>&lt;p&gt;Well I think that you have a very good point there and I also often think that science has a problem with scales. We look at something small and want to understand the bigger picture. Sometimes it is fruitful but often it leads to &amp;quot;wrong&amp;quot; conclusions. But there is really no alternative way to do science because if we dont understand the basics we can not understand the advanced......&lt;/p&gt;
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 <pubDate>Tue, 17 Apr 2007 02:19:19 -0400</pubDate>
 <dc:creator>Mikko Hellgren</dc:creator>
 <guid isPermaLink="false">comment 2346 at http://imechanica.org</guid>
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 <title>You are right</title>
 <link>http://imechanica.org/node/1171#comment-2264</link>
 <description>&lt;p&gt;Michelle, you are absolutely right, processes in cell can take a longer time. I referred to mechanotransduction (which is more mechanics-related and closely related with protein channels discussed in the jClub) to illustrate that, even a ms (or even μs) process is too difficult to be followed by all-atom simulations. Like you said, length and time scale challenges present in almost every material mechanics problems, not just biomechanics.&lt;/p&gt;
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 <pubDate>Wed, 11 Apr 2007 12:30:10 -0400</pubDate>
 <dc:creator>Xi Chen</dc:creator>
 <guid isPermaLink="false">comment 2264 at http://imechanica.org</guid>
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 <title>time scale in cells</title>
 <link>http://imechanica.org/node/1171#comment-2263</link>
 <description>&lt;p&gt;Time scales for physiological processes in cells can take more than ms, and in many cases much closer to s.  There&amp;#39;s then yet another huge leap towards thinking about biology and disease -- in humans we have to try and understand how processes taking place in cells on second-type time scales relate to diseases that appear in years.  A similar problem exists in length-scales: a cell is tens of microns; a person is (usually!) several meters in size.  &lt;/p&gt;
&lt;p&gt;I applaud the advances in biomechanics at molecular length- and time-scales but hope that these advances are kept in the perspective of the larger picture.  To actually use our understanding of molecular process to affect healthcare there&amp;#39;s a large leap in scale, and this leap is not irrelevant in considering healthcare as at least one good reason for studying biomechanics (aside from basic understanding of the universe and the meaning of life, of course!)    &lt;/p&gt;
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 <pubDate>Wed, 11 Apr 2007 10:20:43 -0400</pubDate>
 <dc:creator>MichelleLOyen</dc:creator>
 <guid isPermaLink="false">comment 2263 at http://imechanica.org</guid>
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 <title>MD Simulations</title>
 <link>http://imechanica.org/node/1171#comment-2221</link>
 <description>&lt;p&gt;I think that the ultimate test for dynamical processes in biomolecules is simulation of the folding process going from a random coil state to a native (folded) state. Several papers have shown that through MD simulations one can simulate the folding of small peptides with less than about 30 amino acids. But since most enzymes is typically much larger and that the folding process in general on the time scale of ms compared to only ns for large systems in MD we still have a long way to go.&lt;/p&gt;
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 <pubDate>Mon, 09 Apr 2007 10:04:25 -0400</pubDate>
 <dc:creator>Mikko Hellgren</dc:creator>
 <guid isPermaLink="false">comment 2221 at http://imechanica.org</guid>
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 <title>even more expensive for time scale</title>
 <link>http://imechanica.org/node/1171#comment-2193</link>
 <description>&lt;p&gt;Since typical processes occuring in the cell, such as mechanotransduction, can take several ms, all-atom simulations are simply impossible without some biased tricks.&lt;/p&gt;
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 <pubDate>Sat, 07 Apr 2007 00:31:02 -0400</pubDate>
 <dc:creator>Xi Chen</dc:creator>
 <guid isPermaLink="false">comment 2193 at http://imechanica.org</guid>
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 <title>all-atom simulations</title>
 <link>http://imechanica.org/node/1171#comment-2192</link>
 <description>&lt;p&gt;Thanks for the information.&lt;/p&gt;
&lt;p&gt;I can understand now that all-atom simulations of the conformational changes of proteins can be prohibitively expensive.&lt;/p&gt;
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 <pubDate>Sat, 07 Apr 2007 00:23:20 -0400</pubDate>
 <dc:creator>Henry Tan</dc:creator>
 <guid isPermaLink="false">comment 2192 at http://imechanica.org</guid>
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 <title>being more quantitative</title>
 <link>http://imechanica.org/node/1171#comment-2187</link>
 <description>&lt;p&gt;While most coarse-grained models of proteins can give reliable information about directionality of motion (such as structural transition), but not about the magnitude of motion. It&amp;#39;s usually straightforward to correlate known structural transitions to a set of normal modes (which are collective basis vectors). It&amp;#39;s much more difficult to predict structural transitions based on a single structure; e.g., what happens after an ATPase binds ATP. In other words, the work that you mentioned is quite nice but not yet predictive. For more quantitative coarse-graining attempts, you may want to refer to &lt;a href=&quot;http://www.chem.utah.edu/faculty/voth/&quot;&gt;Greg Voth&lt;/a&gt;&amp;#39;s work.&lt;/p&gt;
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 <pubDate>Fri, 06 Apr 2007 18:43:01 -0400</pubDate>
 <dc:creator>Xi Chen</dc:creator>
 <guid isPermaLink="false">comment 2187 at http://imechanica.org</guid>
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<item>
 <title>RE: unsolved problems on coarse-graining of proteins?</title>
 <link>http://imechanica.org/node/1171#comment-2179</link>
 <description>&lt;p&gt;Hi, Chen. I am very thankful to your reply to my comments. You said that coarse-graining of proteins is still at infant stage and there are still many unsolved problems. As far as I guess, the coarse-graining of proteins is attributed to the fact that the native topology (represented by contact map - map indicates the native contact) plays a role in protein dynamics. That is, in general, the stiffness matrix for proteins based on native contacts becomes sparse matrix that leads to possibility of coarse-graining. I think that that is why further model reduction from Tirion&amp;#39;s coarse-grained model is possible.&lt;/p&gt;
&lt;p&gt;I have simple question for you: You said that &amp;quot;there are many unsolved problems&amp;quot;. Can you give some example on your comment? To my best knowledge, the challenging problem is to understand protein dynamics and/or mechanics for large protein complexes that I am still working on. Especially, I am working on protein dynamics of large protein complex (e.g. GroEL-GroES) by using various model reduction methods. Also, I am working on coarse-grained model for mechanics of protein crystals.&lt;/p&gt;
&lt;p&gt;Anyway, I would like to hear from you about some examples of unsolved problems in coarse-graining of proteins, and your opinion for further directions on protein modelings. Thank you again for your reply.&lt;/p&gt;
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 <pubDate>Fri, 06 Apr 2007 11:12:08 -0400</pubDate>
 <dc:creator>Kilho Eom</dc:creator>
 <guid isPermaLink="false">comment 2179 at http://imechanica.org</guid>
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<item>
 <title>over billions of molecules per cell</title>
 <link>http://imechanica.org/node/1171#comment-2115</link>
 <description>&lt;p&gt;Honglai,&lt;/p&gt;
&lt;p&gt; The actual number varies a lot because the cell size can be very different. On average a protein can contain millions of molecules, and a cell can easily contain over billions of molecules. See &lt;a href=&quot;http://www.ncbi.nlm.nih.gov/books/bv.fcgi?rid=mcb.section.199&quot; target=&quot;_blank&quot;&gt;here&lt;/a&gt; for a rough estimation.&lt;/p&gt;
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 <pubDate>Sun, 01 Apr 2007 19:55:38 -0400</pubDate>
 <dc:creator>Xi Chen</dc:creator>
 <guid isPermaLink="false">comment 2115 at http://imechanica.org</guid>
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<item>
 <title>how many atoms in a cell?</title>
 <link>http://imechanica.org/node/1171#comment-2077</link>
 <description>&lt;p&gt;Xi,&lt;/p&gt;
&lt;p&gt;how many atoms in a cell? Counted in molecules, what is the number?&lt;/p&gt;
&lt;br class=&quot;clear&quot; /&gt;</description>
 <pubDate>Sun, 01 Apr 2007 11:36:04 -0400</pubDate>
 <dc:creator>Henry Tan</dc:creator>
 <guid isPermaLink="false">comment 2077 at http://imechanica.org</guid>
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<item>
 <title>The biomolecules cannot be placed in an isolated system</title>
 <link>http://imechanica.org/node/1171#comment-2075</link>
 <description>&lt;p&gt;Thank you Honglai. All components discussed here must be embedded within a cell and its surrounding environment and thus it is usually assumed the system temperature is a constant. In MD simulation that would be to put the entire system in a &amp;quot;water bath&amp;quot; with a constant temperature. The thermal fluctuation can, of course, influence the system equilibrium and dynamics (especially those from the solvent molecules). This is discussed in Mahadevan and Schulten&amp;#39;s work. &lt;/p&gt;
&lt;br class=&quot;clear&quot; /&gt;</description>
 <pubDate>Sun, 01 Apr 2007 10:21:15 -0400</pubDate>
 <dc:creator>Xi Chen</dc:creator>
 <guid isPermaLink="false">comment 2075 at http://imechanica.org</guid>
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