Information Fusion (IF) is about combining, or fusing, information from different sources in order to facilitate our understanding of a complex system and thereby provide insights that could not be gained from any of ...
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Recent advances in the ability to discriminate between homologous and non-homologous proteins in the "Twilight Zone" of sequence similarity, must be accompanied by accurate alignments if they are to be of va...
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We have used quantitative modeling of signaling networks to show that the mitogen-activated protein kinase cascade - a highly-conserved signaling network in eukaryotes - can functions as a low-pass filter by amplifyin...
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Protein Data Integration approaches at the moment considers data sources as data repositories, but not as applications;which in turn may embody complex interactions with other data sources. Current approaches do not p...
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We present TreeRefiner, a tool for refining multiple alignments of biological sequences. Given a multiple alignment, a phylogenetic tree, and scoring parameters as input, TreeRefiner optimizes the sum-of-pairs functio...
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We present TreeRefiner, a tool for refining multiple alignments of biological sequences. Given a multiple alignment, a phylogenetic tree, and scoring parameters as input, TreeRefiner optimizes the sum-of-pairs function in a restricted three-dimensional space around the alignment. At each internal node of the unrooted tree, the multiple alignment is projected to the sub-alignments corresponding to the three neighboring nodes, and three-dimensional dynamic programming is performed within a user-specified radius r around the original alignment. We test TreeRefiner on simulated sequences aligned by several popular tools, and demonstrate substantial improvements in the percentage of correctly aligned positions.
The efficient scheme for enhancing the performance of the MVDR beamforming for DS/CDMA systems is proposed. The main focus of the proposed scheme is to enhance the practical estimation of an array response vector for ...
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The Perfect Phylogeny Haplotyping (PPH) problem is one of the many computational approaches to the Haplotype Inference (HI) problem. Though there are many O(nm/sup 2/) solutions to the PPH problem, the complexity of t...
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The Perfect Phylogeny Haplotyping (PPH) problem is one of the many computational approaches to the Haplotype Inference (HI) problem. Though there are many O(nm/sup 2/) solutions to the PPH problem, the complexity of the PPH problem itself has remained an open question. In this paper, we introduce the FlexTree data structure that represents all the solutions for a PPH instance. We also introduce row ordering that arranges the genotypes in a more manageable fashion. The column ordering, the FlexTree data structure and the row ordering together make the O(nm) OPPH algorithm possible. We also present some results on simulated data, which demonstrate that the OPPH algorithm performs quiet impressively when compared to the earlier O(nm/sup 2/) algorithms.
As the first step toward a multi-scale, hierarchical computational approach for membrane protein structure prediction, the packing of transmembrane helices was modeled at the residual and atomistic levels, respectivel...
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ISBN:
(纸本)0769523447
As the first step toward a multi-scale, hierarchical computational approach for membrane protein structure prediction, the packing of transmembrane helices was modeled at the residual and atomistic levels, respectively. For predictions at the residual level, the helix-helix and helix-lipid interactions were described by a set of knowledge-based energy functions. For predictions at the atomistic level, CHARMM19 force field was employed. To facilitate the system to overcome energy barriers, Wang-Landau sampling was carried out by performing a random walk in the energy and conformational spaces. Native-like structures were predicted at both levels for 2- and 7-helix systems. Interestingly, consistent results were obtained from simulations at residual and atomistic levels for the same system, strongly suggesting the feasibility of a hierarchical approach for membrane structure prediction.
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