Research Areas: Quantitative Systems Biology, Computational Materials Design, Applied Machine Learning, & Applied Evolutionary Dynamics
Research Areas: Quantitative Systems Biology, Computational Materials Design, Applied Machine Learning, & Applied Evolutionary Dynamics
Pardakhti, M; Nanda, P; Srivastava, R. Impact of chemical features on methane adsorption by porous materials at varying pressures. The Journal Of Physical Chemistry C 124:4534-4544 (2020).
[COMP MAT]
Gao, T; Wang, Y; Zhang, C; Pittman, ZA; Oliveira, AM; Fu, K; Zhao, J; Srivastava, R; Willis, BG. Classification of Tea Aromas Using Multi-Nanoparticle Based Chemiresistor Arrays. Sensors 19:2547 (2019).
[COMP MAT]
Moharreri, E; Pardakhti, M; Srivastava, R; Suib, SL. Energy--Geometry Dependency of Molecular Structures: A Multistep Machine Learning Approach. ACS combinatorial science 21:614--621 (2019).
[COMP MAT]
Rogers, I; Srivastava, R. Using ensemble modeling to determine causes of multifactorial disorders. Proceedings of the Genetic and Evolutionary Computation Conference Companion 302--302 (2018).
[BIO COMP]
Benjamino, J; Lincoln, S; Srivastava, R; Graf, J. Low-abundant bacteria drive compositional changes in the gut microbiota after dietary alteration. Microbiome 6:86 (2018).
[BIO COMP]
White, JR; Srivastava, R. Integration of Reaction Kinetics Theory and Gene Expression Programming to Infer Reaction Mechanism. European Conference on the Applications of Evolutionary Computation 53--66 (2017).
[BIO COMP]
Pardakhti, M; Moharreri, E; Wanik, D; Suib, SL; Srivastava, R. Machine learning using combined structural and chemical descriptors for prediction of methane adsorption performance of metal organic frameworks (MOFs). ACS combinatorial science 19:640--645 (2017).
[COMP MAT]
Lincoln, S; Benjamino, J; Graf, J; Srivastava, R. Metabolite Overproduction through Engineering and Optimization of Microbiome Composition Dynamics. Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion 9--10 (2016).
[BIO COMP]
Lincoln, S; Rogers, I; Srivastava, R. Metabolic Design And Engineering Through Ant Colony Optimization. Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation 225--232 (2015).
[BIO COMP]
Bautista, EJ; Srivastava, R. Enhancing genetic algorithm-based genome-scale metabolic network curation efficiency. Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation 257--264 (2014).
[BIO COMP]
Bautista, EJ; Srivastava, R. Leveraging ensemble information of evolving populations in genetic algorithms to identify incomplete metabolic pathways. Proceedings of the 15th annual conference companion on Genetic and evolutionary computation 39--40 (2013).
[BIO COMP]
Bautista, EJ; Zinski, J; Szczepanek, SM; Johnson, EL; Tulman, ER; Ching, W; Geary, SJ; Srivastava, R. Semi-automated curation of metabolic models via flux balance analysis: a case study with Mycoplasma gallisepticum. PLoS computational biology 9:e1003208 (2013).
[BIO COMP]
Johnson, E; Srivastava, R. Volatility in mRNA secondary structure as a design principle for antisense. Nucleic acids research 41:e43--e43 (2012).
[BIO COMP]
Srivastava, R; White, J; Lalla, R; Loew, L; Peterson, D. Optimizing personalized treatment of oral mucositis secondary to cancer therapy through systems biology.. Journal of Clinical Oncology 29:e19690--e19690 (2011).
[BIO COMP]
Jain, R; Srivastava, R. Metabolic investigation of host/pathogen interaction using MS2-infected Escherichia coli. BMC systems biology 3:121 (2009).
[BIO COMP]
Peterson, DE; Srivastava, R; White, JR; Lalla, RV; Loew, LM. Systems biology of mucosal injury in cancer patients. Journal of Clinical Oncology 26:9634--9634 (2008).
[BIO COMP]
Yilmaz, O; Achenie, LE; Srivastava, R. Systematic tuning of parameters in support vector clustering. Mathematical biosciences 205:252--270 (2007).
[BIO COMP]
Peterson, D; Lalla, R; Srivastava, R; Loew, L. Mucositis in cancer patients: Prototypic semi-mechanistic kinetic model. Journal of Clinical Oncology 25:19617--19617 (2007).
[BIO COMP]
Jain, R; Knorr, AL; Bernacki, J; Srivastava, R. Investigation of bacteriophage MS2 viral dynamics using model discrimination analysis and the implications for phage therapy. Biotechnology progress 22:1650--1658 (2006).
[BIO COMP]
Knorr, AL; Jain, R; Srivastava, R. Bayesian-based selection of metabolic objective functions. Bioinformatics 23:351--357 (2006).
[BIO COMP]
Knorr, AL; Srivastava, R. Evaluation of HIV-1 kinetic models using quantitative discrimination analysis. Bioinformatics 21:1668--1677 (2004).
[BIO COMP]
Srivastava, R; Peterson, M; Bentley, W. Stochastic kinetic analysis of the Escherichia coli stress circuit using $\sigma$32-targeted antisense. Biotechnology and Bioengineering 75:120--129 (2001).
[BIO COMP]
Srivastava, R; Peterson, M; Bentley, W. Stochastic kinetic analysis of the Escherichia coli stress circuit using $\sigma$32-targeted antisense. Biotechnology and Bioengineering 75:120--129 (2001).
[BIO COMP]