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1. TH upstream-inhibited UBR5 subnetwork for learning in human left hemisphere|Prostate via nucleus to cytoplasm protein binding | |||
Wang Yuanzhen,WANG Lin,HUANG Juxiang | |||
Biology 27 December 2019 | |||
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Abstract:High tyrosine hydroxylase (TH) upstream-inhibited ubiquitin protein ligase E3 component n-recognin 5 (UBR5) molecular subnetwork was constructed, including feedback sulfotransferase family 1A member 2 (SULT1A2); downstream chromosome 10 open reading frame 10 (C10orf10), heterogeneous nuclear ribonucleoprotein H3 (HNRPH3), UPF3 regulator of nonsense transcripts homolog A (yeast) (UPF3A) reported relation with learning in human left hemisphere. The common biology process of TH upstream-inhibited UBR5 subnetwork was identified by DAVID, containing feedback SULT1A2, downstream HNRPH3, downstream UPF3A, second-core UBR5, first-core TH as protein binding; downstream HNRPH3, downstream UPF3A, second-core UBR5 as RNA binding; feedback SULT1A2, first-core TH as small molecule metabolic process; downstream HNRPH3, downstream UPF3A as nucleotide binding; The common cellular component of downstream HNRPH3, downstream UPF3A, second-core UBR5, first-core TH as nucleus; feedback SULT1A2, downstream UPF3A, first-core TH as cytosol; downstream HNRPH3, downstream UPF3A, second-core UBR5 as nucleoplasm; downstream UPF3A, second-core UBR5, first-core TH as cytoplasm; downstream C10orf10, first-core TH as mitochondrion; The common tissue distributions as Prostate_3rd maybe exist the same pattern with human left hemisphere. We propose and mutual positively verify tyrosine hydroxylase (TH) upstream-inhibited ubiquitin protein ligase E3 component n-recognin 5 (UBR5) subnetwork for learning in human left hemisphere|Prostate via nucleus to cytoplasm protein binding. | |||
TO cite this article:Wang Yuanzhen,WANG Lin,HUANG Juxiang. TH upstream-inhibited UBR5 subnetwork for learning in human left hemisphere|Prostate via nucleus to cytoplasm protein binding[OL].[27 December 2019] http://en.paper.edu.cn/en_releasepaper/content/4750367 |
2. Computational QSAR models with high-dimensional descriptor selection improve antitumor activity design of ARC-111 analogues | |||
ZHOU Wei,DAI Zhijun,CHEN Yuan,YUAN Zheming | |||
Biology 23 February 2012 | |||
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Abstract:ARC-111 has potent topoisomerase I-targeting activity and pronounced antitumor activity. To design ARC-111 analogues with improved efficiency, we performed analyses on the quantitative structure-activity relationship (QSAR) of 22 ARC-111 analogues assessed in P388 tumor cells. First, the support vector regression (SVR) models were constructed and optimized based on literature descriptors (the low-dimensional descriptor space) and the worst descriptor elimination multi-round (WDEM) method. The optimized SVR model had greater generalization ability than multiple linear regression (MLR) and stepwise linear regression (SLR) in the independence test, which indicated that our nonlinear WDEM method could remove redundant descriptors more effectively, and our optimized SVR was a more powerful modeling technique. Second, to identify more accessible and effective descriptors, our modeling descriptors with clear meanings were selected from a large number of descriptors calculated by the software PCLIENT. Through the high-dimensional descriptor selection nonlinear (HDSN) method and the WDEM method, seven independent variable combinations with tens of descriptors were selected out of 2,923 descriptors. The seven corresponding SVR models performed better in the independent test, compared to MLR and SLR. The evaluation measures supported the excellent predictive power of the new models. According to the interpretability analysis of the SVR model, the regression significance of the model and the importance of single indicator were evaluated based on F-tests. Our work offers some useful theories for understanding the function mechanism and finds parameters for designing ARC-111 analogues with enhanced antitumor activity. | |||
TO cite this article:ZHOU Wei,DAI Zhijun,CHEN Yuan, et al. Computational QSAR models with high-dimensional descriptor selection improve antitumor activity design of ARC-111 analogues[OL].[23 February 2012] http://en.paper.edu.cn/en_releasepaper/content/4468276 |
3. An efficient sampling method for non-convex thermodynamic solution space of genome-scale networks | |||
Feng Yang,Feng Qi | |||
Biology 24 February 2007 | |||
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Abstract:Constraint-based approaches, such as flux balance analysis (FBA) and energy balance analysis(EBA), are widely applied to study a variety of metabolic networks. While the convex mass-balance solution space has been rigourously characterized, the nonconvex thermodynamically feasible solution space has not been characterized yet, especially for large-scale biochemical networks. Therefore, developing an efficient sampling technique to characterize the physicochemically feasible solution space is critical. Here we present an efficient method to uniformly sample the nonconvex thermodynamically feasible solution space. By studying the characteristics of sampled flux distributions, the thermodynamic feasibility and directionality of some key reactions are revealed. The developed methodology can be used to revise currently available metabolic networks, and systematically determine feasible flux directions which satisfy both mass-balance and thermodynamic-balance constraints. | |||
TO cite this article:Feng Yang,Feng Qi. An efficient sampling method for non-convex thermodynamic solution space of genome-scale networks[OL].[24 February 2007] http://en.paper.edu.cn/en_releasepaper/content/11196 |
4. Evidence of High Sensitivity of Stomatal development for Gene Mutations by Comparing Experiment in Some Mutants of Arabidopsis | |||
Zhuxia Shen,Genxuan Wang,Hao Zhang ,Muqing Qiu,Xingzheng Zhao | |||
Biology 01 November 2005 | |||
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Abstract:e sought to gain insight into the gene regulation mechanism of stomatal development and investigate the relationship among some different genes. The nail enamel printing was conducted to observe the stomatal indices of some mutants including eins, cins, abis, era1, gca2, CaMs and phr1, analyse the stomatal indices among them by ANOVA. In the wild type and 16 mutants, the stomatal index did not differ with respect to location on the lower epidermis. When compared with wt, the stomatal indices of 16 mutants changed significantly, the change of mutant eins was most obvious, stomatal index in insensitive and enhanced ABA mutants and the enhance or intervened expression of CaM mutants, the index all decrease. The stomata intensity was highly sensitive to most mutations in genome, which could be used as an index of the relative regulation in the genome transcription signal and metabolic webs. We hypothesis that stomatal development is control by multigene, these gene interact with each othe | |||
TO cite this article:Zhuxia Shen,Genxuan Wang,Hao Zhang , et al. Evidence of High Sensitivity of Stomatal development for Gene Mutations by Comparing Experiment in Some Mutants of Arabidopsis[OL].[ 1 November 2005] http://en.paper.edu.cn/en_releasepaper/content/3440 |
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