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作者:Yousry Y Azmy , Anshuman Gupta , B Franklin Pugh
来源:[J].PLoS ONE(IF 3.73), 2017, Vol.3 (8)DOAJ
摘要:Understanding how a myriad of transcription regulators work to modulate mRNA output at thousands of genes remains a fundamental challenge in molecular biology. Here we develop a computational tool to aid in assessing the plausibility of gene regulatory models derived from genome-...
作者:Anshuman Gupta , Costas D. Maranas , Conor M. McDonald
来源:[J].Computers and Chemical Engineering(IF 2.091), 2000, Vol.24 (12), pp.2613-2621Elsevier
摘要:Abstract(#br)This paper utilizes the framework of mid-term, multisite supply chain planning under demand uncertainty to safeguard against inventory depletion at the production sites and excessive shortage at the customer. A chance constraint programming approach in conjunction wi...
作者:Anshuman Gupta , Costas D. Maranas
来源:[J].Computers and Chemical Engineering(IF 2.091), 2003, Vol.27 (8), pp.1219-1227Elsevier
摘要:Abstract(#br)In this work, we provide an overview of our previously published works on incorporating demand uncertainty in midterm planning of multisite supply chains. A stochastic programming based approach is described to model the planning process as it reacts to demand r...
作者:Anshuman Gupta , Jeffrey D. Varner , Costas D. Maranas
来源:[J].Computers and Chemical Engineering(IF 2.091), 2004, Vol.29 (3), pp.565-576Elsevier
摘要:Abstract(#br)This paper addresses the inference of the transcriptional regulatory network of Bacillus subtilis . Two inference approaches, a linear, additive model and a non-linear power-law model, are used to analyze the expression of 747 genes from B. subtilis obtained usi...
作者:Anshuman Gupta , Costas D. Maranas
来源:[J].Physica A: Statistical Mechanics and its Applications(IF 1.676), 2006, Vol.373, pp.796-810Elsevier
摘要:Abstract(#br)We present the methods and results of a two-stage modeling process that generates candidate gene-regulatory networks of the bacterium B.subtilis from experimentally obtained, yet mathematically underdetermined microchip array data. By employing a computational, ...
作者:Madhukar S. Dasika , Anshuman Gupta , Costas D. Maranas
来源:[J].Journal of Theoretical Biology(IF 2.351), 2005, Vol.232 (1), pp.55-69Elsevier
摘要:Abstract(#br)In this paper, a d iscrete e vent based m echanistic sim ulation platform DEMSIM is developed for testing and validating putative regulatory interactions. The proposed framework models the main processes in gene expression, which are transcription, translation and de...
作者:Manish C. Saraf , Anshuman Gupta , Costas D. Maranas
来源:[J].Proteins: Structure, Function, and Bioinformatics(IF 3.337), 2005, Vol.60 (4), pp.769-777Wiley
摘要:Abstract(#br)In this article we introduce a computational procedure, OPTCOMB (Optimal Pattern of Tiling for COMBinatorial library design), for designing protein hybrid libraries that optimally balance library size with quality. The proposed procedure is directly applicable t...
作者:Yousry Y. Azmy , Anshuman Gupta , B. Franklin Pugh
来源:[J].PLOS ONE(IF 3.73), 2008, Vol.3 (8)PLOS
摘要:Understanding how a myriad of transcription regulators work to modulate mRNA output at thousands of genes remains a fundamental challenge in molecular biology. Here we develop a computational tool to aid in assessing the plausibility of gene regulatory models derived from genome-...

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