High accuracy template based modeling by global optimization
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Updated: Jul 11, 2026

Three-Dimensional Shape Modeling and Analysis of Brain Structures
Published on: November 14, 2019
Keehyoung Joo1, Jinwoo Lee, Sunjoong Lee
1School of Computational Sciences, Korea Institute for Advanced Study, Seoul, Korea.
Abstract:
For high-accuracy template-based-modeling of CASP7 targets, we have applied a procedure based on the rigorous optimization of score functions at three stages: multiple alignment, chain building, and side-chain modeling. We applied the conformational space annealing method to a newly developed consistency based score function for multiple alignment. For chain building, we optimized the MODELLER energy function. For side-chain modeling, we optimized a SCWRL-like energy function using a rotamer library constructed specifically for a given target sequence. By rigorous optimization, we have achieved significant improvement in backbone as well as side-chain modeling for TBM and TBM/HA targets. For most TBM/HA targets (17/26), the predicted model was more accurate than the model one can construct from the best template in a posteriori fashion. It appears that the current method can extract relevant information out of multiple templates.
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