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Year : 2011  |  Volume : 2  |  Issue : 3  |  Page : 5  

Global optimization by conformational space annealing and its applications to various biological systems


Center for In Silico Protein Science & School of Computational Sciences, Korea Institute for Advanced Study, 85 Hoegiro, Dongdaemun-gu, Seoul 130-722, Korea

Date of Web Publication26-May-2012

Correspondence Address:
Jooyoung Lee
Center for In Silico Protein Science & School of Computational Sciences, Korea Institute for Advanced Study, 85 Hoegiro, Dongdaemun-gu, Seoul 130-722
Korea
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Source of Support: None, Conflict of Interest: None


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How to cite this article:
Lee J. Global optimization by conformational space annealing and its applications to various biological systems. J Nat Sc Biol Med 2011;2, Suppl S1:5

How to cite this URL:
Lee J. Global optimization by conformational space annealing and its applications to various biological systems. J Nat Sc Biol Med [serial online] 2011 [cited 2020 Feb 17];2, Suppl S1:5. Available from: http://www.jnsbm.org/text.asp?2011/2/3/5/95672

One of the fundamental goals of modern sciences is to understand the nature of life, and deciphering the protein structure and its working mechanism lies at the very heart of this agenda. Due to the tremendous success of many genome projects, the number of available protein sequences reached over 5.3 million as of 2007, but less than 1% of these protein structures are known. Reliable and accurate protein structure prediction using only the sequence information is greatly in demand, but it remains as an unsolved problem even after many years of efforts. We intend to establish a successful protein modeling method that is solely based on direct application of principles excluding human interference in modeling steps. This should be contrasted to the common conception in the field that human expertise accumulated by many years of protein modeling is the most important asset for accurate protein structure prediction. In this talk we will discuss recent progresses of our efforts in protein structure prediction. It appears that our newly proposed method, which is based on the direct and rigorous optimization of relevant score functions, can provide significant improvement for 3D modeling of proteins in the category of High-Accuracy Template-Based Modeling. Applications of highly accurate proteins 3D models to various biological systems will be discussed. If time is allowed, applications of global optimization to NMR protein structure "re-determination" and protein function annotation by module detection will be discuss.




 

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