Hi Everyone, See below for a message from Victor regarding Prof. Ken Dill's theochem visit next week. He will be giving a seminar next Wednesday If you would like a meeting with Prof. Dill, or to grab lunch with him on Thursday, please contact Victor. Cheers, Jennifer ---------- Forwarded message --------- From: Victor Zhao &lt;yzhao01(a)g.harvard.edu&gt; Date: Tue, Mar 14, 2017 at 6:48 PM Subject: Prof. Ken Dill visiting Harvard on Thu Mar. 23 To: Jennifer Wei &lt;jenniferwei(a)fas.harvard.edu&gt; Hi Jennifer, Could you please pass along the following message to members of your group? —— Hello everyone, I am once again hosting a visitor for Theochem, a student-run lecture series for theoretical chemistry. This time, Prof. Ken Dill of Stony Brook University <https://urldefense.proofpoint.com/v2/url?u=http-3A__dillgroup.stonybrook.edu_-23_home&d=CwMFaQ&c=WO-RGvefibhHBZq3fL85hQ&r=UPzYrSHLXjnX3tYn90C8Ljjzb-yfrb1UtMOxOFh-tKk&m=22llKBhBNS-LUVroPImK7NyFxcQCt-Y2QyLNtNVnKkQ&s=ZqIoV6qdnoR9GGvsIhdFbn74AioVD1sEkTb85Xhn6bg&e=>, is visiting Boston March 21-23. On Thursday, March 23, he will be at Harvard, and I am putting together a schedule for that day. Would you be interested and available sometime that day for a meeting with him? Please let me know. At the moment, I am sending out scheduling emails, so the day's schedule is still mostly open, excepting 3-3:45 PM. Additionally, Prof. Dill will be speaking at MIT in Building 4, Rm 237 on Wednesday, March 22 at 4:15 PM. Everyone is welcome to to attend. I've put the abstract for his two-part talk below. Finally, there is opportunity for lunch with Prof. Dill. The time for lunch will be determined as the day’s schedule is filled, but I imagine it would be sometime 12-1PM. Anyone interested can let me know. Best, Victor --- Professor Ken Dill, Stony Brook University Theochem Seminar MIT 4-237, 4:15 PM, Wednesday March 22 Part I: Accelerating atomistic simulations of proteins by Bayesian inference with unreliable information Abstract: Molecular simulations give insights and quantitation to protein folding, drug discovery and the binding of ligands, and biological mechanistic actions in the cell. But, even with current sampling methods, such as Replica Exchange, physical simulations are much too slow, and don't scale well to larger proteins or larger actions. We have developed MELD, which melds together vague external knowledge to accelerate physics-based molecular simulations. I will describe proofs of principle in folding proteins in the blind prediction event called CASP, and in computing binding affinities of peptide ligands to proteins. Part II: Cell biology is sometimes cell physics Abstract: Some behaviors of cells are not due to single proteins or pathways, but are due to the physical properties of proteomes as a whole. For example, the growth rates of bacteria as a function of temperature or salt can be explained the folding stability and diffusion rates of the proteins in the proteome. Using simple physical models, we explore physical aspects of cell mechanisms and evolution, also including cellular energy balance and proteostasis, the machinery that folds and disaggregates proteins.