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The power of operon rearrangements for predicting functional associations.

Computational and structural biotechnology journal

Moreno-Hagelsieb G.
PMID: 26199682
Comput Struct Biotechnol J. 2015 Jul 02;13:402-6. doi: 10.1016/j.csbj.2015.06.002. eCollection 2015.

In this mini-review I aim to make the case that operons might be the most powerful source for predicted associations among gene products. Such associations can help identify potential processes where the products of unannotated genes might play a...

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Moreno-Hagelsieb G. The power of operon rearrangements for predicting functional associations. Comput Struct Biotechnol J. 2015;13:402-6doi: 10.1016/j.csbj.2015.06.002.
Moreno-Hagelsieb, G. (2015). The power of operon rearrangements for predicting functional associations. Computational and structural biotechnology journal, 13402-6. https://doi.org/10.1016/j.csbj.2015.06.002
Moreno-Hagelsieb, Gabriel. "The power of operon rearrangements for predicting functional associations." Computational and structural biotechnology journal vol. 13 (2015): 402-6. doi: https://doi.org/10.1016/j.csbj.2015.06.002
Moreno-Hagelsieb G. The power of operon rearrangements for predicting functional associations. Comput Struct Biotechnol J. 2015 Jul 02;13:402-6. doi: 10.1016/j.csbj.2015.06.002. eCollection 2015. PMID: 26199682; PMCID: PMC4506987.
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Measuring statistical evidence using relative belief.

Computational and structural biotechnology journal

Evans M.
PMID: 26925207
Comput Struct Biotechnol J. 2016 Jan 07;14:91-6. doi: 10.1016/j.csbj.2015.12.001. eCollection 2016.

A fundamental concern of a theory of statistical inference is how one should measure statistical evidence. Certainly the words "statistical evidence," or perhaps just "evidence," are much used in statistical contexts. It is fair to say, however, that the...

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Evans M. Measuring statistical evidence using relative belief. Comput Struct Biotechnol J. 2016;14:91-6doi: 10.1016/j.csbj.2015.12.001.
Evans, M. (2016). Measuring statistical evidence using relative belief. Computational and structural biotechnology journal, 1491-6. https://doi.org/10.1016/j.csbj.2015.12.001
Evans, Michael. "Measuring statistical evidence using relative belief." Computational and structural biotechnology journal vol. 14 (2016): 91-6. doi: https://doi.org/10.1016/j.csbj.2015.12.001
Evans M. Measuring statistical evidence using relative belief. Comput Struct Biotechnol J. 2016 Jan 07;14:91-6. doi: 10.1016/j.csbj.2015.12.001. eCollection 2016. PMID: 26925207; PMCID: PMC4726790.
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Evaluation of multiple approaches to identify genome-wide polymorphisms in closely related genotypes of sweet cherry (.

Computational and structural biotechnology journal

Hewitt S, Kilian B, Hari R, Koepke T, Sharpe R, Dhingra A.
PMID: 28392892
Comput Struct Biotechnol J. 2017 Mar 18;15:290-298. doi: 10.1016/j.csbj.2017.03.002. eCollection 2017.

Identification of genetic polymorphisms and subsequent development of molecular markers is important for marker assisted breeding of superior cultivars of economically important species. Sweet cherry (

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Hewitt S, Kilian B, Hari R, et al. Evaluation of multiple approaches to identify genome-wide polymorphisms in closely related genotypes of sweet cherry (. Comput Struct Biotechnol J. 2017;15:290-298doi: 10.1016/j.csbj.2017.03.002.
Hewitt, S., Kilian, B., Hari, R., Koepke, T., Sharpe, R., & Dhingra, A. (2017). Evaluation of multiple approaches to identify genome-wide polymorphisms in closely related genotypes of sweet cherry (. Computational and structural biotechnology journal, 15290-298. https://doi.org/10.1016/j.csbj.2017.03.002
Hewitt, Seanna, et al. "Evaluation of multiple approaches to identify genome-wide polymorphisms in closely related genotypes of sweet cherry (." Computational and structural biotechnology journal vol. 15 (2017): 290-298. doi: https://doi.org/10.1016/j.csbj.2017.03.002
Hewitt S, Kilian B, Hari R, Koepke T, Sharpe R, Dhingra A. Evaluation of multiple approaches to identify genome-wide polymorphisms in closely related genotypes of sweet cherry (. Comput Struct Biotechnol J. 2017 Mar 18;15:290-298. doi: 10.1016/j.csbj.2017.03.002. eCollection 2017. PMID: 28392892; PMCID: PMC5376269.
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Role of P2X7 and P2Y2 receptors on α-secretase-dependent APP processing: Control of amyloid plaques formation "in vivo" by P2X7 receptor.

Computational and structural biotechnology journal

Miras-Portugal MT, Diaz-Hernandez JI, Gomez-Villafuertes R, Diaz-Hernandez M, Artalejo AR, Gualix J.
PMID: 25848496
Comput Struct Biotechnol J. 2015 Mar 11;13:176-81. doi: 10.1016/j.csbj.2015.02.005. eCollection 2015.

Amyloid precursor protein (APP) is expressed in a large variety of neural and non-neural cells. The balance between non-pathogenic and pathologic forms of APP processing, mediated by α-secretase and β-secretase respectively, remains a crucial step to understand β-amyloid, Aβ42...

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Miras-Portugal MT, Diaz-Hernandez JI, Gomez-Villafuertes R, et al. Role of P2X7 and P2Y2 receptors on α-secretase-dependent APP processing: Control of amyloid plaques formation "in vivo" by P2X7 receptor. Comput Struct Biotechnol J. 2015;13:176-81doi: 10.1016/j.csbj.2015.02.005.
Miras-Portugal, M. T., Diaz-Hernandez, J. I., Gomez-Villafuertes, R., Diaz-Hernandez, M., Artalejo, A. R., & Gualix, J. (2015). Role of P2X7 and P2Y2 receptors on α-secretase-dependent APP processing: Control of amyloid plaques formation "in vivo" by P2X7 receptor. Computational and structural biotechnology journal, 13176-81. https://doi.org/10.1016/j.csbj.2015.02.005
Miras-Portugal, M Teresa, et al. "Role of P2X7 and P2Y2 receptors on α-secretase-dependent APP processing: Control of amyloid plaques formation "in vivo" by P2X7 receptor." Computational and structural biotechnology journal vol. 13 (2015): 176-81. doi: https://doi.org/10.1016/j.csbj.2015.02.005
Miras-Portugal MT, Diaz-Hernandez JI, Gomez-Villafuertes R, Diaz-Hernandez M, Artalejo AR, Gualix J. Role of P2X7 and P2Y2 receptors on α-secretase-dependent APP processing: Control of amyloid plaques formation "in vivo" by P2X7 receptor. Comput Struct Biotechnol J. 2015 Mar 11;13:176-81. doi: 10.1016/j.csbj.2015.02.005. eCollection 2015. PMID: 25848496; PMCID: PMC4372621.
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Biobetters From an Integrated Computational/Experimental Approach.

Computational and structural biotechnology journal

Kuyucak S, Kayser V.
PMID: 28179976
Comput Struct Biotechnol J. 2017 Jan 16;15:138-145. doi: 10.1016/j.csbj.2017.01.003. eCollection 2017.

Biobetters are new drugs designed from existing peptide or protein-based therapeutics by improving their properties such as affinity and selectivity for the target epitope, and stability against degradation. Computational methods can play a key role in such design problems-by...

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Kuyucak S, Kayser V. Biobetters From an Integrated Computational/Experimental Approach. Comput Struct Biotechnol J. 2017;15:138-145doi: 10.1016/j.csbj.2017.01.003.
Kuyucak, S., & Kayser, V. (2017). Biobetters From an Integrated Computational/Experimental Approach. Computational and structural biotechnology journal, 15138-145. https://doi.org/10.1016/j.csbj.2017.01.003
Kuyucak, Serdar, and Kayser, Veysel. "Biobetters From an Integrated Computational/Experimental Approach." Computational and structural biotechnology journal vol. 15 (2017): 138-145. doi: https://doi.org/10.1016/j.csbj.2017.01.003
Kuyucak S, Kayser V. Biobetters From an Integrated Computational/Experimental Approach. Comput Struct Biotechnol J. 2017 Jan 16;15:138-145. doi: 10.1016/j.csbj.2017.01.003. eCollection 2017. PMID: 28179976; PMCID: PMC5279740.
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Mini-review: .

Computational and structural biotechnology journal

Guo W, Sheng J, Feng X.
PMID: 28179978
Comput Struct Biotechnol J. 2017 Jan 19;15:161-167. doi: 10.1016/j.csbj.2017.01.006. eCollection 2017.

With the breakthroughs in biomolecular engineering and synthetic biology, many valuable biologically active compound and commodity chemicals have been successfully manufactured using cell-based approaches in the past decade. However, because of the high complexity of cell metabolism, the identification...

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Guo W, Sheng J, Feng X. Mini-review: . Comput Struct Biotechnol J. 2017;15:161-167doi: 10.1016/j.csbj.2017.01.006.
Guo, W., Sheng, J., & Feng, X. (2017). Mini-review: . Computational and structural biotechnology journal, 15161-167. https://doi.org/10.1016/j.csbj.2017.01.006
Guo, Weihua, et al. "Mini-review: ." Computational and structural biotechnology journal vol. 15 (2017): 161-167. doi: https://doi.org/10.1016/j.csbj.2017.01.006
Guo W, Sheng J, Feng X. Mini-review: . Comput Struct Biotechnol J. 2017 Jan 19;15:161-167. doi: 10.1016/j.csbj.2017.01.006. eCollection 2017. PMID: 28179978; PMCID: PMC5288458.
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A guide to the identification of metabolites in NMR-based metabonomics/metabolomics experiments.

Computational and structural biotechnology journal

Dona AC, Kyriakides M, Scott F, Shephard EA, Varshavi D, Veselkov K, Everett JR.
PMID: 27087910
Comput Struct Biotechnol J. 2016 Mar 09;14:135-53. doi: 10.1016/j.csbj.2016.02.005. eCollection 2016.

Metabonomics/metabolomics is an important science for the understanding of biological systems and the prediction of their behaviour, through the profiling of metabolites. Two technologies are routinely used in order to analyse metabolite profiles in biological fluids: nuclear magnetic resonance...

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Dona AC, Kyriakides M, Scott F, et al. A guide to the identification of metabolites in NMR-based metabonomics/metabolomics experiments. Comput Struct Biotechnol J. 2016;14:135-53doi: 10.1016/j.csbj.2016.02.005.
Dona, A. C., Kyriakides, M., Scott, F., Shephard, E. A., Varshavi, D., Veselkov, K., & Everett, J. R. (2016). A guide to the identification of metabolites in NMR-based metabonomics/metabolomics experiments. Computational and structural biotechnology journal, 14135-53. https://doi.org/10.1016/j.csbj.2016.02.005
Dona, Anthony C, et al. "A guide to the identification of metabolites in NMR-based metabonomics/metabolomics experiments." Computational and structural biotechnology journal vol. 14 (2016): 135-53. doi: https://doi.org/10.1016/j.csbj.2016.02.005
Dona AC, Kyriakides M, Scott F, Shephard EA, Varshavi D, Veselkov K, Everett JR. A guide to the identification of metabolites in NMR-based metabonomics/metabolomics experiments. Comput Struct Biotechnol J. 2016 Mar 09;14:135-53. doi: 10.1016/j.csbj.2016.02.005. eCollection 2016. PMID: 27087910; PMCID: PMC4821453.
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Zebrafish small molecule screens: Taking the phenotypic plunge.

Computational and structural biotechnology journal

Williams CH, Hong CC.
PMID: 27721960
Comput Struct Biotechnol J. 2016 Sep 18;14:350-356. doi: 10.1016/j.csbj.2016.09.001. eCollection 2016.

Target based chemical screens are a mainstay of modern drug discovery, but the effectiveness of this reductionist approach is being questioned in light of declines in pharmaceutical R & D efficiency. In recent years, phenotypic screens have gained increasing...

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Williams CH, Hong CC. Zebrafish small molecule screens: Taking the phenotypic plunge. Comput Struct Biotechnol J. 2016;14:350-356doi: 10.1016/j.csbj.2016.09.001.
Williams, C. H., & Hong, C. C. (2016). Zebrafish small molecule screens: Taking the phenotypic plunge. Computational and structural biotechnology journal, 14350-356. https://doi.org/10.1016/j.csbj.2016.09.001
Williams, Charles H, and Hong, Charles C. "Zebrafish small molecule screens: Taking the phenotypic plunge." Computational and structural biotechnology journal vol. 14 (2016): 350-356. doi: https://doi.org/10.1016/j.csbj.2016.09.001
Williams CH, Hong CC. Zebrafish small molecule screens: Taking the phenotypic plunge. Comput Struct Biotechnol J. 2016 Sep 18;14:350-356. doi: 10.1016/j.csbj.2016.09.001. eCollection 2016. PMID: 27721960; PMCID: PMC5050293.
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Image-based Analysis to Study Plant Infection with Human Pathogens.

Computational and structural biotechnology journal

Schikora M, Schikora A.
PMID: 25505501
Comput Struct Biotechnol J. 2014 Sep 28;12(20):1-6. doi: 10.1016/j.csbj.2014.09.010. eCollection 2014 Nov.

Our growing awareness that contaminated plants, fresh fruits and vegetables are responsible for a significant proportion of food poisoning with pathogenic microorganisms indorses the demand to understand the interactions between plants and human pathogens. Today we understand that those...

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Schikora M, Schikora A. Image-based Analysis to Study Plant Infection with Human Pathogens. Comput Struct Biotechnol J. 2014;12(20):1-6doi: 10.1016/j.csbj.2014.09.010.
Schikora, M., & Schikora, A. (2014). Image-based Analysis to Study Plant Infection with Human Pathogens. Computational and structural biotechnology journal, 12(20), 1-6. https://doi.org/10.1016/j.csbj.2014.09.010
Schikora, Marek, and Schikora, Adam. "Image-based Analysis to Study Plant Infection with Human Pathogens." Computational and structural biotechnology journal vol. 12,20 (2014): 1-6. doi: https://doi.org/10.1016/j.csbj.2014.09.010
Schikora M, Schikora A. Image-based Analysis to Study Plant Infection with Human Pathogens. Comput Struct Biotechnol J. 2014 Sep 28;12(20):1-6. doi: 10.1016/j.csbj.2014.09.010. eCollection 2014 Nov. PMID: 25505501; PMCID: PMC4262057.
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Cell-based Models To Investigate Tau Aggregation.

Computational and structural biotechnology journal

Lim S, Haque MM, Kim D, Kim DJ, Kim YK.
PMID: 25505502
Comput Struct Biotechnol J. 2014 Oct 02;12(20):7-13. doi: 10.1016/j.csbj.2014.09.011. eCollection 2014 Nov.

Accumulation of abnormal tau aggregates in neuron is an important pathological signature in multiple neurodegenerative disorders including Alzheimer's disease. Tau is a neuron specific microtubule-associated protein that regulates microtubule stability, which is critical for axonal outgrowth and synaptic plasticity....

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Lim S, Haque MM, Kim D, et al. Cell-based Models To Investigate Tau Aggregation. Comput Struct Biotechnol J. 2014;12(20):7-13doi: 10.1016/j.csbj.2014.09.011.
Lim, S., Haque, M. M., Kim, D., Kim, D. J., & Kim, Y. K. (2014). Cell-based Models To Investigate Tau Aggregation. Computational and structural biotechnology journal, 12(20), 7-13. https://doi.org/10.1016/j.csbj.2014.09.011
Lim, Sungsu, et al. "Cell-based Models To Investigate Tau Aggregation." Computational and structural biotechnology journal vol. 12,20 (2014): 7-13. doi: https://doi.org/10.1016/j.csbj.2014.09.011
Lim S, Haque MM, Kim D, Kim DJ, Kim YK. Cell-based Models To Investigate Tau Aggregation. Comput Struct Biotechnol J. 2014 Oct 02;12(20):7-13. doi: 10.1016/j.csbj.2014.09.011. eCollection 2014 Nov. PMID: 25505502; PMCID: PMC4262059.
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Advances in the development of SUMO specific protease (SENP) inhibitors.

Computational and structural biotechnology journal

Kumar A, Zhang KY.
PMID: 25893082
Comput Struct Biotechnol J. 2015 Mar 24;13:204-11. doi: 10.1016/j.csbj.2015.03.001. eCollection 2015.

Sumoylation is a reversible post-translational modification that involves the covalent attachment of small ubiquitin-like modifier (SUMO) proteins to their substrate proteins. Prior to their conjugation, SUMO proteins need to be proteolytically processed from its precursor form to mature or...

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Kumar A, Zhang KY. Advances in the development of SUMO specific protease (SENP) inhibitors. Comput Struct Biotechnol J. 2015;13:204-11doi: 10.1016/j.csbj.2015.03.001.
Kumar, A., & Zhang, K. Y. (2015). Advances in the development of SUMO specific protease (SENP) inhibitors. Computational and structural biotechnology journal, 13204-11. https://doi.org/10.1016/j.csbj.2015.03.001
Kumar, Ashutosh, and Zhang, Kam Y J. "Advances in the development of SUMO specific protease (SENP) inhibitors." Computational and structural biotechnology journal vol. 13 (2015): 204-11. doi: https://doi.org/10.1016/j.csbj.2015.03.001
Kumar A, Zhang KY. Advances in the development of SUMO specific protease (SENP) inhibitors. Comput Struct Biotechnol J. 2015 Mar 24;13:204-11. doi: 10.1016/j.csbj.2015.03.001. eCollection 2015. PMID: 25893082; PMCID: PMC4397505.
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Computer-aided Molecular Design of Compounds Targeting Histone Modifying Enzymes.

Computational and structural biotechnology journal

Andreoli F, Del Rio A.
PMID: 26082827
Comput Struct Biotechnol J. 2015 May 07;13:358-65. doi: 10.1016/j.csbj.2015.04.007. eCollection 2015.

Growing evidences show that epigenetic mechanisms play crucial roles in the genesis and progression of many physiopathological processes. As a result, research in epigenetic grew at a fast pace in the last decade. In particular, the study of histone...

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Andreoli F, Del Rio A. Computer-aided Molecular Design of Compounds Targeting Histone Modifying Enzymes. Comput Struct Biotechnol J. 2015;13:358-65doi: 10.1016/j.csbj.2015.04.007.
Andreoli, F., & Del Rio, A. (2015). Computer-aided Molecular Design of Compounds Targeting Histone Modifying Enzymes. Computational and structural biotechnology journal, 13358-65. https://doi.org/10.1016/j.csbj.2015.04.007
Andreoli, Federico, and Del Rio, Alberto. "Computer-aided Molecular Design of Compounds Targeting Histone Modifying Enzymes." Computational and structural biotechnology journal vol. 13 (2015): 358-65. doi: https://doi.org/10.1016/j.csbj.2015.04.007
Andreoli F, Del Rio A. Computer-aided Molecular Design of Compounds Targeting Histone Modifying Enzymes. Comput Struct Biotechnol J. 2015 May 07;13:358-65. doi: 10.1016/j.csbj.2015.04.007. eCollection 2015. PMID: 26082827; PMCID: PMC4459771.
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Showing 1 to 12 of 1577 entries